Tootfinder

"2,000 species at high risk of extinction from natural disasters, study finds"
#Animals
https://news.mongabay.com/2025/07/2000

2,000 species at high risk of extinction from natural disasters, study finds
In the aftermath of Hurricane Maria’s assault on the Caribbean island of Dominica in 2017, researchers made a heartbreaking discovery: dead and dying hummingbirds scattered across the forest floor. Among them were purple-throated caribs (Eulampis jugularis), the specialized pollinators of the island’s Heliconia plants. This single storm threatened an evolutionary partnership millions of years in […]

NLKI: A lightweight Natural Language Knowledge Integration Framework for Improving Small VLMs in Commonsense VQA Tasks
Aritra Dutta, Swapnanil Mukherjee, Deepanway Ghosal, Somak Aditya
https://arxiv.org/abs/2508.19724

NLKI: A lightweight Natural Language Knowledge Integration Framework for Improving Small VLMs in Commonsense VQA Tasks
Commonsense visual-question answering often hinges on knowledge that is missing from the image or the question. Small vision-language models (sVLMs) such as ViLT, VisualBERT and FLAVA therefore lag behind their larger generative counterparts. To study the effect of careful commonsense knowledge integration on sVLMs, we present an end-to-end framework (NLKI) that (i) retrieves natural language facts, (ii) prompts an LLM to craft natural language explanations, and (iii) feeds both signals to sVLM…

An LLM-powered Natural-to-Robotic Language Translation Framework with Correctness Guarantees
ZhenDong Chen, ZhanShang Nie, ShiXing Wan, JunYi Li, YongTian Cheng, Shuai Zhao
https://arxiv.org/abs/2508.19074

An LLM-powered Natural-to-Robotic Language Translation Framework with Correctness Guarantees
The Large Language Models (LLM) are increasingly being deployed in robotics to generate robot control programs for specific user tasks, enabling embodied intelligence. Existing methods primarily focus on LLM training and prompt design that utilize LLMs to generate executable programs directly from user tasks in natural language. However, due to the inconsistency of the LLMs and the high complexity of the tasks, such best-effort approaches often lead to tremendous programming errors in the gener…

“If you ask people who study the topic, they will tell you that a modern famine is a man-made disaster. Natural disasters can play a part. For example, flooding and drought can destroy crops, but relief agencies and wealthy governments can now get aid where it needs to go. So it is ultimately war and political will that keeps enough food from being grown or delivered in places like Ethiopia and Somalia, Sudan and Yemen, Haiti and North Korea and, of course, now in Gaza.”

2,000 species at high risk of extinction from natural disasters, study finds https://news.mongabay.com/2025/07/2000-species-at-high-risk-of-extinction-from-natural-disasters-study-finds/

2,000 species at high risk of extinction from natural disasters, study finds
In the aftermath of Hurricane Maria’s assault on the Caribbean island of Dominica in 2017, researchers made a heartbreaking discovery: dead and dying hummingbirds scattered across the forest floor. Among them were purple-throated caribs (Eulampis jugularis), the specialized pollinators of the island’s Heliconia plants. This single storm threatened an evolutionary partnership millions of years in […]

$F(\phi)T$-Gravity and Inflationary Natural Model
Feyzollah Younesizadeh, Davoud Kamani
https://arxiv.org/abs/2507.19005 https://arxiv.org/pdf/2507.19005…

$F(ϕ)T$-Gravity and Inflationary Natural Model
By applying a particular kind of modified gravity, we study the inflation. Precisely, we extend our investigations beyond the Einstein's gravity to explore the Natural inflation model via the term $F(ϕ)T$. We compute the inflation dynamics to derive the slow-roll parameters, i.e., the tensor-to-scalar ratio ``$r$'' and the scalar spectral index ``$n_s$''. This modified form of the gravity yields not only the predictions of the original models but also better-fitting with the Planck/BICEP/Keck …

Julius AI, which acts like a data scientist by analyzing data and running predictive models from natural language prompts, raised a $10M seed led by Bessemer (Marina Temkin/TechCrunch)
https://techcrunch.com/2025/07/28/ai-data-analyst-startup-julius-nabs…

AI data analyst startup Julius nabs $10M seed round | TechCrunch
The seed round for Julius AI was led by Bessemer Venture Partners.

The natural-born posthuman: applying extended mind to post- and transhumanist discourse https://link.springer.com/article/10.1007/s11229-025-05202-4 "Newer discussions have expanded upon this idea through sensory substitution devices, such as The vOICe system which use…

The natural-born posthuman: applying extended mind to post- and transhumanist discourse - Synthese
As a basis for his extensionist theory on the philosophy of the mind Andy Clark attempts to provide a positive definition of the human as a natural-born cyborg, connecting it to Arnold Gehlen’s idea of the deficient being (Mängelwesen). This natural-born cyborg is a being whose cognition relies on the engagement in new kinds of perception-action-cycles with their external world - usually with the help of technology - thereby creating a systemic whole with this external world. Questions about…

🛖 Wildfire victims want to rebuild with natural materials. Some say L.A. County is making it onerous
https://www.latimes.com/environment/story/2025-06-28/natural-building-materials-wildfires-altadena
🆓

Wildfire victims want to rebuild with natural materials. Some say L.A. County is making it onerous
L.A. County officials signaled interest in rebuilding in fire zones with natural materials, such as adobe, but advocates say their policies make it nearly impossible.

Hey friends, this is a snap from our hike last weekend. We were so happy that we took this way down.
The green was just so gorgeous!
#hiking #mountains #tegernsee

Towards Deeper Understanding of Natural User Interactions in Virtual Reality Based Assembly Tasks
Ryan Ghamandi, Yahya Hmaiti, Mykola Maslych, Ravi Kiran Kattoju, Joseph J. LaViola Jr
https://arxiv.org/abs/2508.17124

Towards Deeper Understanding of Natural User Interactions in Virtual Reality Based Assembly Tasks
We explore natural user interactions using a virtual reality simulation of a robot arm for assembly tasks. Using a Wizard-of-Oz study, participants completed collaborative LEGO and instructive PCB assembly tasks, with the robot responding under experimenter control. We collected voice, hand tracking, and gaze data from users. Statistical analyses revealed that instructive and collaborative scenarios elicit distinct behaviors and adopted strategies, particularly as tasks progress. Users tended t…

Nanoscale mechanics and ultralow Friction of natural 2D silicates: Biotite and Rhodonite
Surbhi Slathia, Manoj Tripathi, Raphael Benjamim de Oliveira, Guilherme da Silva Lopes Fabris, Bruno Ipaves, Raphael Matozo Tromer, Marcelo Lopes Pereira Junior, Gelu Costin, Preeti Lata Mahapatraa, Nicholas R. Glavin, Ajit K. Roy, Venkataramana Gadhamshetty, Douglas Soares Galvao, Alan Dalton, Chandra Sekhar Tiwary

Nanoscale mechanics and ultralow Friction of natural 2D silicates: Biotite and Rhodonite
Two-dimensional (2D) silicates have emerged as a promising class of ultrathin materials, expanding the landscape of 2D systems beyond conventional van der Waals crystals. Their unique crystal chemistries and structural anisotropies make them attractive for applications ranging from sensors and flexoelectric devices to drug delivery and catalysis. To unlock their full potential, it is critical to understand their thickness-dependent mechanical properties within the family of 2D silicates. In thi…

Book Review “The End” by Joel Wainwright

NoCode-bench: A Benchmark for Evaluating Natural Language-Driven Feature Addition
Le Deng, Zhonghao Jiang, Jialun Cao, Michael Pradel, Zhongxin Liu
https://arxiv.org/abs/2507.18130

NoCode-bench: A Benchmark for Evaluating Natural Language-Driven Feature Addition
Natural language-driven no-code development allows users to specify software functionality using natural language (NL) instead of editing source code, promising increased productivity and democratized development. Large language models (LLMs) show potential in enabling this paradigm. In this context, software documentation acts as an NL specification for functionality. This work introduces NoCode-bench, a benchmark designed to evaluate LLMs on real-world NL-driven feature addition tasks, consis…

Fascinating
https://www.jalopnik.com/1944442/ford-bomber-factory-history/

Ford Once Made A Mile-Long Factory To Build Bombers Faster Than Anyone Thought Possible - Jalopnik
Cars and airplanes may not seem a natural mix, but during World War II Ford built a huge factory to make bombers. In the process, it spawned a pop-culture icon.

A Hybrid Approach for Unified Image Quality Assessment: Permutation Entropy-Based Features Fused with Random Forest for Natural-Scene and Screen-Content Images for Cross-Content Applications
Mohtashim Baqar, Sian Lun Lau, Mansoor Ebrahim
https://arxiv.org/abs/2508.17351

A Hybrid Approach for Unified Image Quality Assessment: Permutation Entropy-Based Features Fused with Random Forest for Natural-Scene and Screen-Content Images for Cross-Content Applications
Image Quality Assessment (IQA) plays a vital role in applications such as image compression, restoration, and multimedia streaming. However, existing metrics often struggle to generalize across diverse image types - particularly between natural-scene images (NSIs) and screen-content images (SCIs) - due to their differing structural and perceptual characteristics. To address this limitation, we propose a novel full-reference IQA framework: Permutation Entropy-based Features Fused with Random For…

Entanglement across scales: Quantics tensor trains as a natural framework for renormalization
Stefan Rohshap, Jheng-Wei Li, Alena Lorenz, Serap Hasil, Karsten Held, Anna Kauch, Markus Wallerberger
https://arxiv.org/abs/2507.19069

Entanglement across scales: Quantics tensor trains as a natural framework for renormalization
Understanding entanglement remains one of the most intriguing problems in physics. While particle and site entanglement have been studied extensively, the investigation of length or energy scale entanglement, quantifying the information exchange between different length scales, has received far less attention. Here, we identify the quantics tensor train (QTT) technique, a matrix product state-inspired approach for overcoming computational bottlenecks in resource-intensive numerical calculations…

Retrieval-Augmented Generation for Natural Language Art Provenance Searches in the Getty Provenance Index
Mathew Henrickson
https://arxiv.org/abs/2508.19093 https://

Retrieval-Augmented Generation for Natural Language Art Provenance Searches in the Getty Provenance Index
This research presents a Retrieval-Augmented Generation (RAG) framework for art provenance studies, focusing on the Getty Provenance Index. Provenance research establishes the ownership history of artworks, which is essential for verifying authenticity, supporting restitution and legal claims, and understanding the cultural and historical context of art objects. The process is complicated by fragmented, multilingual archival data that hinders efficient retrieval. Current search portals require …

Measurement and Qualitative Explanation of Decay Lengths of Attractive and Repulsive Forces between Natural and Artificial Atoms
Marco Weiss, Fabian Stilp, Max Reinhart, Franz J. Giessibl
https://arxiv.org/abs/2507.19392

Measurement and Qualitative Explanation of Decay Lengths of Attractive and Repulsive Forces between Natural and Artificial Atoms
Artificial atoms, such as quantum corrals, offer an excellent platform to study fundamental interactions between localized quantum states and nanoscale probes. We performed atomic force microscopy measurements inside square quantum corrals on Cu(111) using CO- and metal-terminated tips. Using chemically unreactive CO-terminated tips repulsive Pauli forces can be probed, while metallic tips are attracted to the localized quantum states due to chemical bonding. We found distinct exponential decay…

#DavidHasselhoff #MitziKapture
Season 9 Episode 5 "The Natural"
#RandomBaywatch #lvdlpx

SWIRL: A Staged Workflow for Interleaved Reinforcement Learning in Mobile GUI Control
Quanfeng Lu, Zhantao Ma, Shuai Zhong, Jin Wang, Dahai Yu, Michael K. Ng, Ping Luo
https://arxiv.org/abs/2508.20018 …

SWIRL: A Staged Workflow for Interleaved Reinforcement Learning in Mobile GUI Control
The rapid advancement of large vision language models (LVLMs) and agent systems has heightened interest in mobile GUI agents that can reliably translate natural language into interface operations. Existing single-agent approaches, however, remain limited by structural constraints. Although multi-agent systems naturally decouple different competencies, recent progress in multi-agent reinforcement learning (MARL) has often been hindered by inefficiency and remains incompatible with current LVLM a…

BEV-LLM: Leveraging Multimodal BEV Maps for Scene Captioning in Autonomous Driving
Felix Brandstaetter, Erik Schuetz, Katharina Winter, Fabian Flohr
https://arxiv.org/abs/2507.19370

BEV-LLM: Leveraging Multimodal BEV Maps for Scene Captioning in Autonomous Driving
Autonomous driving technology has the potential to transform transportation, but its wide adoption depends on the development of interpretable and transparent decision-making systems. Scene captioning, which generates natural language descriptions of the driving environment, plays a crucial role in enhancing transparency, safety, and human-AI interaction. We introduce BEV-LLM, a lightweight model for 3D captioning of autonomous driving scenes. BEV-LLM leverages BEVFusion to combine 3D LiDAR poi…

Who Wins the Multi-Structural Game?
Ronald Fagin, Neil Immerman, Phokion Kolaitis, Jonathan Lenchner, Rik Sengupta
https://arxiv.org/abs/2507.18718 https://

Who Wins the Multi-Structural Game?
Combinatorial games played between two players, called Spoiler and Duplicator, have often been used to capture syntactic properties of formal logical languages. For instance, the widely used Ehrenfeucht-Fraïssé (EF) game captures the syntactic measure of quantifier rank of first-order formulas. For every such game, there is an associated natural decision problem: "given an instance of the game, does Spoiler win the game on that instance?" For EF games, this problem was shown to be PSPACE-comp…

Crosslisted article(s) found for cs.PL. https://arxiv.org/list/cs.PL/new
[1/1]:
- An LLM-powered Natural-to-Robotic Language Translation Framework with Correctness Guarantees
ZhenDong Chen, ZhanShang Nie, ShiXing Wan, JunYi Li, YongTian Cheng, Shuai Zhao

How popular media gets love wrong
Now a bit of background about why I have this "engineered" model of love:
First, I'm a white straight cis man. I've got a few traits that might work against my relationship chances (e.g., neurodivergence; I generally fit pretty well into the "weird geek" stereotype), but as I was recently reminded, it's possible my experience derives more from luck than other factors, and since things are tilted more in my favor than most people on the planet, my advice could be worse than useless if it leads people towards strategies that would only have worked for someone like me. I don't *think* that's the case, but it's worth mentioning explicitly.
When I first started dating my now-wife, we were both in graduate school. I was 26, and had exactly zero dating/romantic experience though that point in my life. In other words, a pretty stereotypical "incel" although I definitely didn't subscribe to incel ideology at all. I felt lonely, and vaguely wanted a romantic relationship (I'm neither aromantic nor asexual), but had never felt socially comfortable enough to pursue one before. I don't drink and dislike most social gatherings like parties or bars; I mostly hung around the fringes of the few college parties I attended, and although I had a reasonable college social life in terms of friends, I didn't really do anything to pursue romance, feeling too awkward to know where to start. I had the beginnings of crushes in both high school and college, but never developed a really strong crush, probably correlated with not putting myself in many social situations outside of close all-male friend gatherings. I never felt remotely comfortable enough to act on any of the proto-crushes I did have. I did watch porn and masturbate, so one motivation for pursuing a relationship was physical intimacy, but loneliness was as much of a motivating factor, and of course the social pressure to date was a factor too, even though I'm quite contrarian.
When I first started dating my now-wife, we were both in graduate school. I was 26, and had exactly zero dating/romantic experience though that point in my life. In other words, a pretty stereotypical "incel" although I definitely didn't subscribe to incel ideology at all. I felt lonely, and vaguely wanted a romantic relationship (I'm neither aromantic nor asexual), but had never felt socially comfortable enough to pursue one before. I don't drink and dislike most social gatherings like parties or bars; I mostly hung around the fringes of the few college parties I attended, and although I had a reasonable college social life in terms of friends, I didn't really do anything to pursue romance, feeling too awkward to know where to start. I had the beginnings of crushes in both high school and college, but never developed a really strong crush, probably correlated with not putting myself in many social situations outside of close all-male friend gatherings. I never felt remotely comfortable enough to act on any of the proto-crushes I did have. I did watch porn and masturbate, so one motivation for pursuing a relationship was physical intimacy, but loneliness was as much of a motivating factor, and of course the social pressure to date was a factor too, even though I'm quite contrarian.
I'm lucky in that I had some mixed-gender social circles already like intramural soccer and a graduate-student housing potluck. Graduate school makes a *lot* more of these social spaces accessible, so I recognize that those not in school of some sort have a harder time of things, especially if like me they don't feel like they fit in in typical adult social spaces like bars.
However, at one point I just decided that my desire for a relationship would need action on my part and so I'd try to build a relationship and see what happened. I worked up my courage and asked one of the people in my potluck if she'd like to go for a hike (pretty much clearly a date but not explicitly one; in retrospect not the best first-date modality in a lot of ways, but it made a little more sense in our setting where we could go for a hike from our front door). To emphasize this point: I was not in love with (or even infatuated with) my now-wife at that point. I made a decision to be open to building a relationship, but didn't follow the typical romance story formula beyond that. Now of course, in real life as opposed to popular media, this isn't anything special. People ask each other out all the time just because they're lonely, and some of those relationships turn out fine (although many do not).
I was lucky in that some aspects of who I am and what I do happened to be naturally comforting to my wife (natural advantage in the "appeal" model of love) but of course there are some aspects of me that annoy my wife, and we negotiate that. In the other direction, there's some things I instantly liked about my wife, and other things that still annoy me. We've figured out how to accept a little, change a little, and overall be happy with each other (though we do still have arguments; it's not like the operation/construction/maintenance of the "love mechanism" is always perfectly smooth). In particular though, I approached the relationship with the attitude of "I want to try to build a relationship with this person," at first just because of my own desires for *any* relationship, and then gradually more and more through my desire to build *this specific* relationship as I enjoyed the rewards of companionship.
So for example, while I think my wife is objectively beautiful, she's also *subjectively* very beautiful *to me* because having decided to build a relationship with her, I actively tried to see her as beautiful, rather than trying to judge whether I wanted a relationship with her based on her beauty. In other words, our relationship is more causative of her beauty-to-me than her beauty-to-me is causative of our relationship. This is the biggest way I think the "engineered" model of love differs from the "fire" and "appeal" models: you can just decide to build love independent of factors we typically think of as engendering love (NOT independent of your partner's willingness to participate, of course), and then all of those things like "thinking your partner is beautiful" can be a result of the relationship you're building. For sure those factors might affect who is willing to try building a relationship with you in the first place, but if more people were willing to jump into relationship building (not necessarily with full commitment from the start) without worrying about those other factors, they might find that those factors can come out of the relationship instead of being prerequisites for it. I think this is the biggest failure of the "appeal" model in particular: yes you *do* need to do things that appeal to your partner, but it's not just "make myself lovable" it's also: is your partner putting in the effort to see the ways that you are beautiful/lovable/etc., or are they just expecting you to become exactly some perfect person they've imagined (and/or been told to desire by society)? The former is perfectly possible, and no less satisfying than the latter.
To cut off my rambling a bit here, I'll just add that in our progress from dating through marriage through staying-married, my wife and I have both talked at times explicitly about commitment, and especially when deciding to get married, I told her that I knew I couldn't live up to the perfect model of a husband that I'd want to be, but that if she wanted to deepen our commitment, I was happy to do that, and so we did. I also rearranged my priorities at that point, deciding that I knew I wanted to prioritize this relationship above things like my career or my research interests, and while I've not always been perfect at that in my little decisions, I've been good at holding to that in my big decisions at least. In the end, *once we had built a somewhat-committed relationship*, we had something that we both recognized was worth more than most other things in life, and that let us commit even more, thus getting even more out of it in the long term. Obviously you can't start the first date with an expectation of life-long commitment, and you need to synchronize your increasing commitment to a relationship so that it doesn't become lopsided, which is hard. But if you take the commitment as an active decision and as the *precursor* to things like infatuation, attraction, etc., you can build up to something that's incredibly strong and rewarding.
I'll follow this up with one more post trying to distill some advice from my ramblings.
#relationships #love

Concrete Jungle II 🏗️
水泥丛林 II 🏗️
📷 Pentax MX
🎞️ Ilford HP5 Plus, expired 1993
#filmphotography #Photography #blackandwhite

Optimal quantum simulation of linear non-unitary dynamics
Guang Hao Low, Rolando D. Somma
https://arxiv.org/abs/2508.19238 https://arxiv.org/pdf/2508.19238…

Optimal quantum simulation of linear non-unitary dynamics
We present a quantum algorithm for simulating the time evolution generated by any bounded, time-dependent operator $-A$ with non-positive logarithmic norm, thereby serving as a natural generalization of the Hamiltonian simulation problem. Our method generalizes the recent Linear-Combination-of-Hamiltonian-Simulation (LCHS) framework. In instances where $A$ is time-independent, we provide a block-encoding of the evolution operator $e^{-At}$ with $\mathcal{O}\big(t\log\frac{1}ε)$ queries to the …

DELIVER: A System for LLM-Guided Coordinated Multi-Robot Pickup and Delivery using Voronoi-Based Relay Planning
Alkesh K. Srivastava, Jared Michael Levin, Alexander Derrico, Philip Dames
https://arxiv.org/abs/2508.19114

DELIVER: A System for LLM-Guided Coordinated Multi-Robot Pickup and Delivery using Voronoi-Based Relay Planning
We present DELIVER (Directed Execution of Language-instructed Item Via Engineered Relay), a fully integrated framework for cooperative multi-robot pickup and delivery driven by natural language commands. DELIVER unifies natural language understanding, spatial decomposition, relay planning, and motion execution to enable scalable, collision-free coordination in real-world settings. Given a spoken or written instruction, a lightweight instance of LLaMA3 interprets the command to extract pickup an…

On $q$-deformed Markov numbers. Cohn matrices and perfect matchings with weighted edges
Sam Evans, Perrine Jouteur, Sophie Morier-Genoud, Valentin Ovsienko
https://arxiv.org/abs/2507.19080

On $q$-deformed Markov numbers. Cohn matrices and perfect matchings with weighted edges
We consider a natural $q$-deformation of the classical Markov numbers. This $q$-deformation is closely related to $q$-deformed rational numbers recently introduced by two of us. Both notions, those of $q$-rationals and $q$-Markov numbers, are based on invariance with respect to the action of the modular group $mathrm{PSL}(2,\mathbb{Z})$. We prove that every Markov number has a unique $q$-deformation, which is a monic unimodal palindromic Laurent polynomial with positive integer coefficients. Th…

Universal Matrices for Counting Fibonomial and $C$-nomial Coefficients by their $p$-adic Valuations
Arav Chand
https://arxiv.org/abs/2508.18461 https://arx…

Universal Matrices for Counting Fibonomial and $C$-nomial Coefficients by their $p$-adic Valuations
Rowland found a matrix product formula for generating functions counting binomial coefficients by their $p$-adic valuations. A natural generalization of binomial coefficients was introduced by Knuth and Wilf defined by a sequence $C$. We obtain analogous matrix product formulas counting these $C$-nomial coefficients when $C$ is a strong divisibility sequence. Surprisingly, the matrices are universal in the sense that they are independent of $C$. We further extend this product to $C$-multinomial…

A natural realization of inverse seesaw model in a non-invertible selection rule
Shilpa Jangid, Hiroshi Okada
https://arxiv.org/abs/2508.16174 https://arxi…

A natural realization of inverse seesaw model in a non-invertible selection rule
We propose natural hierarchies among neutral fermions in a framework of inverse seesaw, imposing a $Z_3$ Tambara-Yamagami fusion rule which is applied to our phenomenology. Under the symmetry, the Majorana mass terms for $N_R$ and $N_L$ are forbidden at tree level. However they are generated at one-loop level where the symmetry is dynamically broken. In order to realize such loop corrections, we introduce neutral boson and fermion either of which can be an appropriate dark matter candidate. Fin…

Automorphisms of punctual Hilbert schemes and symmetric powers of varieties
Ashima Bansal, Supravat Sarkar, Shivam Vats
https://arxiv.org/abs/2508.18059 https://

Automorphisms of punctual Hilbert schemes and symmetric powers of varieties
We classify complex smooth projective surfaces whose punctual Hilbert scheme has a non-natural automorphism preserving the big diagonal. This completely answers a question raised by Belmans, Oberdieck and Rennemo, and extends previous works by Boissi{è}re-Sarti, Hayashi, Sasaki, Girardet and Wang. We reduce this to studying the existence of non-natural automorphisms of symmetric powers. We study this question for higher dimensional varieties too, giving some sufficient conditions guaranteeing …

"Conservationist Hail Recovery of 150 Struggling Species Thanks to Projects by Natural England"
#UK #UnitedKingdom #Conservation

Conservationist Hail Recovery of 150 Struggling Species Thanks to Projects by Natural England
its report card has arrived, and its A+ work has seen the recovery of 150 struggling or declining species. 

😐 AntiWokeMemes, this user is shit 😐
#Fascism #LGBTQIA

Anomalous narrow-band correlation in a natural superconducting heterostructure
Xiupeng Sun, Zhiyuan Wei, Min Shan, Shuting Peng, Yang Luo, Jianchang Shen, Linwei Huai, Yu Miao, Zhipeng Ou, Mehmet Onbasli, Zhenyu Wang, Tao Wu, Junfeng He, Xianhui Chen
https://arxiv.org/abs/2508.18099

Anomalous narrow-band correlation in a natural superconducting heterostructure
A new frontier in condensed matter physics is to stack atomically thin layered-materials with different properties and create intriguing phenomena which do not exist in any of the constituent layers. Transition metal dichalcogenide 4Hb-TaS$_2$, with an alternating stacking of a spin liquid candidate 1T-TaS$_2$ and a superconductor 1H-TaS$_2$, is a natural heterostructure for such a purpose. Recently, rare phenomena are indeed observed, including chiral superconductivity, two-component nematic s…

Refining Text Generation for Realistic Conversational Recommendation via Direct Preference Optimization
Manato Tajiri, Michimasa Inaba
https://arxiv.org/abs/2508.19918 https://

Refining Text Generation for Realistic Conversational Recommendation via Direct Preference Optimization
Conversational Recommender Systems (CRSs) aim to elicit user preferences via natural dialogue to provide suitable item recommendations. However, current CRSs often deviate from realistic human interactions by rapidly recommending items in brief sessions. This work addresses this gap by leveraging Large Language Models (LLMs) to generate dialogue summaries from dialogue history and item recommendation information from item description. This approach enables the extraction of both explicit user s…

Errands and stuff day started with reading a bit in the #NationalGeographics magazine.
Btw also follow
@…
#goodMorning

MQAD: A Large-Scale Question Answering Dataset for Training Music Large Language Models
Zhihao Ouyang, Ju-Chiang Wang, Daiyu Zhang, Bin Chen, Shangjie Li, Quan Lin
https://arxiv.org/abs/2508.19514

MQAD: A Large-Scale Question Answering Dataset for Training Music Large Language Models
Question-answering (QA) is a natural approach for humans to understand a piece of music audio. However, for machines, accessing a large-scale dataset covering diverse aspects of music is crucial, yet challenging, due to the scarcity of publicly available music data of this type. This paper introduces MQAD, a music QA dataset built on the Million Song Dataset (MSD), encompassing a rich array of musical features, including beat, chord, key, structure, instrument, and genre -- across 270,000 track…

AI use cases introduced by Rob Finn from EMBL-EBI, as pointed out in his #CORDI2025 keynote "Delivering life science data resources in a world of growing data and impacts from AI"
https://www.nfdi.de/cordi-2025/keynotes/

A Quick Estimation of Fr\'echet Quantizers for a Dynamic Solution to Flood Risk Management Problems
Anna Timonina-Farkas
https://arxiv.org/abs/2508.19045 https://

A Quick Estimation of Fréchet Quantizers for a Dynamic Solution to Flood Risk Management Problems
Multi-stage stochastic optimization is a well-known quantitative tool for decision-making under uncertainty. It is broadly used in financial and investment planning, inventory control, and also natural disaster risk management. Theoretical solutions of multi-stage stochastic programs can be found explicitly only in very exceptional cases due to their variational form and interdependency of uncertainty in time. Nevertheless, numerical solutions are often inaccurate, as they rely on Monte-Carlo s…

I am flummoxed at this sign next to a parking lot for a walking trail. I thought this could be just superfluous quotes, but... it's a parking lot? Then I just thought, do they mean no making out after dark? #scandlous

Scientists found the missing nutrients bees need — Colonies grew 15-fold
https://flip.it/v_K3lx

Scientists found the missing nutrients bees need — Colonies grew 15-fold
Scientists have developed a breakthrough food supplement that could help save honeybees from devastating declines. By engineering yeast to produce six essential sterols found in pollen, researchers provided bees with a nutritionally complete diet that boosted reproduction up to 15-fold. Unlike commercial substitutes that lack key nutrients, this supplement mimics natural pollen’s sterol profile, giving bees the equivalent of a balanced diet.

@… It’s natural Hynek, don’t fight it.

Automating Conflict-Aware ACL Configurations with Natural Language Intents
Wenlong Ding, Jianqiang Li, Zhixiong Niu, Huangxun Chen, Yongqiang Xiong, Hong Xu
https://arxiv.org/abs/2508.17990

Automating Conflict-Aware ACL Configurations with Natural Language Intents
ACL configuration is essential for managing network flow reachability, yet its complexity grows significantly with topologies and pre-existing rules. To carry out ACL configuration, the operator needs to (1) understand the new configuration policies or intents and translate them into concrete ACL rules, (2) check and resolve any conflicts between the new and existing rules, and (3) deploy them across the network. Existing systems rely heavily on manual efforts for these tasks, especially for th…

Fractal Illusions: An Experimental Study of Long-Range Sentence-Length Correlations in Randomly Generated Natural Language Texts
Ying Zeng, Junying Cui, Lejun Li
https://arxiv.org/abs/2508.19782

Fractal Illusions: An Experimental Study of Long-Range Sentence-Length Correlations in Randomly Generated Natural Language Texts
This study re-evaluates the assumption that long-range correlations in sentence length are a fundamental feature of natural language and a marker of literary style. While previous research has suggested that punctuation marks--particularly full stops--generate structural regularities in narrative texts, our experiments challenge this view. Using Chinese as the primary language, supplemented with English, we constructed randomized linguistic sequences through three distinct methods. Surprisingly…

Deforestation & illegal roads advancing fast in Colombia’s largest natural area https://news.mongabay.com/2025/08/deforestation-illegal-roads-advancing-fast-in-colombias-largest-natural-area/

Deforestation & illegal roads advancing fast in Colombia’s largest natural area
In Colombia, the construction of illegal roads continues to damage protected areas. In Chiribiquete National Park, 525 hectares (1,297 acres) of forest were lost throughout 2024 up until March 2025 due to the opening of 81.5 kilometers (50.6 miles) of illegal roads within the reserve. In the Llanos del Yarí-Yaguará II Indigenous Reserve, located in […]

Replaced article(s) found for cs.DS. https://arxiv.org/list/cs.DS/new
[1/1]:
- No-Regret M${}^{\natural}$-Concave Function Maximization: Stochastic Bandit Algorithms and Hardne...
Taihei Oki, Shinsaku Sakaue

High-level visual representations in the human brain are aligned with large language models https://www.nature.com/articles/s42256-025-01072-0
News release: Using AI to "see" what we see

We haven’t mined on the moon yet, but companies are already buying its resources.

Finnish tech firm Bluefors,
a maker of ultracold refrigerator systems critical for quantum computing,
has purchased tens of thousands of liters of Helium-3 from the moon
— spending “above $300 million”
— through a commercial space company called Interlune.
The agreement, which has not been previously reported, marks the largest purchase of a natural resource from space
…

Moon helium deal is biggest purchase of natural resources from space
The feasibility of moon mining is not yet proven, but the future of supercomputing may depend on the ability to extract Helium-3 from the lunar surface.

Text to Query Plans for Question Answering on Large Tables
Yipeng Zhang, Chen Wang, Yuzhe Zhang, Jacky Jiang
https://arxiv.org/abs/2508.18758 https://arxiv…

Text to Query Plans for Question Answering on Large Tables
Efficient querying and analysis of large tabular datasets remain significant challenges, especially for users without expertise in programming languages like SQL. Text-to-SQL approaches have shown promising performance on benchmark data; however, they inherit SQL's drawbacks, including inefficiency with large datasets and limited support for complex data analyses beyond basic querying. We propose a novel framework that transforms natural language queries into query plans. Our solution is implem…

GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification
Phuoc Pham, Arun Venkitaraman, Chia-Yu Hsieh, Andrea Bonetti, Stefan Uhlich, Markus Leibl, Simon Hofmann, Eisaku Ohbuchi, Lorenzo Servadei, Ulf Schlichtmann, Robert Wille
https://arxiv.org/abs/2508.19393

GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification
Analog subcircuit identification is a core task in analog design, essential for simulation, sizing, and layout. Traditional methods often require extensive human expertise, rule-based encoding, or large labeled datasets. To address these challenges, we propose GENIE-ASI, the first training-free, large language model (LLM)-based methodology for analog subcircuit identification. GENIE-ASI operates in two phases: it first uses in-context learning to derive natural language instructions from a few …

Beekeeping in progress #Uckermark #bees #beekeeping

Kristi Noem Fast-Tracked Millions in Disaster Aid to Florida Tourist Attraction After Campaign Donor Intervened (@…)
https://www.propublica.org/article/krist…

Kristi Noem Fast-Tracked Millions in Disaster Aid to Florida Tourist Attraction After Campaign Donor Intervened
The DHS chief has been widely criticized for slowing down FEMA’s response after natural disasters. Texts and emails obtained by ProPublica point to an effective way to get help faster: have one of Noem’s big donors make the ask.

Hierarchical organization of bursty trains in event sequences
Takayuki Hiraoka, Hang-Hyun Jo
https://arxiv.org/abs/2508.18281 https://arxiv.org/pdf/2508.18…

Hierarchical organization of bursty trains in event sequences
Temporal sequences of discrete events that describe natural and social processes are often driven by non-Poisson dynamics. In addition to a heavy-tailed interevent time distribution, which primarily captures the deviation from a Poisson process, a heavy tail in the distribution of bursty train sizes is frequently observed, which implies the presence of higher-order temporal correlations that extend beyond interevent times. Here, we study empirical event sequences from different domains to show …

🔧 Key Features
Character Consistency
Maintains appearance of characters or objects across multiple prompts and edits. Enables placing the same character in different environments, showcasing products from multiple angles, or generating consistent brand assets.
✏️ Targeted Transformations
Precise local edits using natural language commands:
Blur backgrounds
Remove objects or stains
Remove people from photos
Alter poses
Add color to black and whit…

EvoMail: Self-Evolving Cognitive Agents for Adaptive Spam and Phishing Email Defense
Wei Huang, De-Tian Chu, Lin-Yuan Bai, Wei Kang, Hai-Tao Zhang, Bo Li, Zhi-Mo Han, Jing Ge, Hai-Feng Lin
https://arxiv.org/abs/2509.21129

EvoMail: Self-Evolving Cognitive Agents for Adaptive Spam and Phishing Email Defense
Modern email spam and phishing attacks have evolved far beyond keyword blacklists or simple heuristics. Adversaries now craft multi-modal campaigns that combine natural-language text with obfuscated URLs, forged headers, and malicious attachments, adapting their strategies within days to bypass filters. Traditional spam detection systems, which rely on static rules or single-modality models, struggle to integrate heterogeneous signals or to continuously adapt, leading to rapid performance degra…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/7]:
- NLKI: A lightweight Natural Language Knowledge Integration Framework for Improving Small VLMs in ...
Aritra Dutta, Swapnanil Mukherjee, Deepanway Ghosal, Somak Aditya

RuN: Residual Policy for Natural Humanoid Locomotion
Qingpeng Li, Chengrui Zhu, Yanming Wu, Xin Yuan, Zhen Zhang, Jian Yang, Yong Liu
https://arxiv.org/abs/2509.20696 https://…

RuN: Residual Policy for Natural Humanoid Locomotion
Enabling humanoid robots to achieve natural and dynamic locomotion across a wide range of speeds, including smooth transitions from walking to running, presents a significant challenge. Existing deep reinforcement learning methods typically require the policy to directly track a reference motion, forcing a single policy to simultaneously learn motion imitation, velocity tracking, and stability maintenance. To address this, we introduce RuN, a novel decoupled residual learning framework. RuN dec…

Another #hiking story is online! No mountains this time but along the shores of the river #Mangfall .
Tough to photograph on such a day. In autumn - with some fog - it must be great. But we really had a great day there!
See more of it:

PseudoBridge: Pseudo Code as the Bridge for Better Semantic and Logic Alignment in Code Retrieval
Yixuan Li, Xinyi Liu, Weidong Yang, Ben Fei, Shuhao Li, Mingjie Zhou, Lipeng Ma
https://arxiv.org/abs/2509.20881

PseudoBridge: Pseudo Code as the Bridge for Better Semantic and Logic Alignment in Code Retrieval
Code search aims to precisely find relevant code snippets that match natural language queries within massive codebases, playing a vital role in software development. Recent advances leverage pre-trained language models (PLMs) to bridge the semantic gap between unstructured natural language (NL) and structured programming languages (PL), yielding significant improvements over traditional information retrieval and early deep learning approaches. However, existing PLM-based methods still encounter…

DESAMO: A Device for Elder-Friendly Smart Homes Powered by Embedded LLM with Audio Modality
Youngwon Choi, Donghyuk Jung, Hwayeon Kim
https://arxiv.org/abs/2508.18918 https://…

DESAMO: A Device for Elder-Friendly Smart Homes Powered by Embedded LLM with Audio Modality
We present DESAMO, an on-device smart home system for elder-friendly use powered by Audio LLM, that supports natural and private interactions. While conventional voice assistants rely on ASR-based pipelines or ASR-LLM cascades, often struggling with the unclear speech common among elderly users and unable to handle non-speech audio, DESAMO leverages an Audio LLM to process raw audio input directly, enabling a robust understanding of user intent and critical events, such as falls or calls for he…

Probing the spectral width of the 12.4-keV solid-state $^{45}$Sc isomeric resonance
Peifan Liu, Miriam Gerharz, Berit Marx-Glowna, Willi Hippler, Jan-Etienne Pudell, Alexey Zozulya, Brandon Stone, Deming Shu, Robert Loetzsch, Sakshath Sadashivaiah, Lars Bocklage, Christina Boemer, Shan Liu, Vitaly Kocharyan, Dietrich Krebs, Tianyun Long, Weilun Qin, Matthias Scholz, Kai Schlage, Ilya Sergeev, Hans-Christian Wille, Ulrike Boesenberg, Gianluca Aldo Geloni, J\"org Hallmann, Wonhyuk J…

Probing the spectral width of the 12.4-keV solid-state $^{45}$Sc isomeric resonance
The $^{45}$Sc nuclear transition from the ground to the isomeric state at 12.389~keV, with a lifetime of 0.46~s, exhibits an extraordinarily narrow natural width of 1.4~feV and a quality factor $\simeq 10^{19}$ -- surpassing those of the most precise atomic clocks -- making $^{45}$Sc a compelling platform for advanced metrology and nuclear clocks. Here we investigate how closely the spectral width and quality factor of the solid-state $^{45}$Sc resonance can approach these natural limits. Using…

$k$-fold circuits and coning in rigidity matroids
John Hewetson, Bill Jackson, Anthony Nixon, Ben Smith
https://arxiv.org/abs/2508.18838 https://arxiv.org/…

$k$-fold circuits and coning in rigidity matroids
In 1980 Lovász introduced the concept of a double circuit in a matroid. The 2nd, 3rd and 4th authors recently generalised this notion to $k$-fold circuits (for any natural number $k$) and proved foundational results about these $k$-fold circuits. In this article we use $k$-fold circuits to derive new results on the generic $d$-dimensional rigidity matroid $\mathcal{R}_d$. These results include analysing 2-sums, showing sufficient conditions for the $k$-fold circuit property to hold for $k$-fol…

Monogenic Strictly-Perron Polynomials
Lenny Jones
https://arxiv.org/abs/2508.18946 https://arxiv.org/pdf/2508.18946…

Monogenic Strictly-Perron Polynomials
A monic polynomial $f(x)\in {\mathbb Z}[x]$ of degree $n$ is called monogenic if $f(x)$ is irreducible over ${\mathbb Q}$ and $\{1,θ,θ^2,\ldots ,θ^{n-1}\}$ is a basis for the ring of integers of ${\mathbb Q}(θ)$, where $f(θ)=0$. A strictly-Perron polynomial is the minimal polynomial of a Perron number $λ$ such that $λ$ is neither a Pisot number, an anti-Pisot number, nor a Salem number. For any natural number $n\ge 2$, we prove that there exist infinitely many monogenic strictly-Perron p…

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions
Yunqi Mi, Jiakui Shen, Guoshuai Zhao, Jialie Shen, Xueming Qian
https://arxiv.org/abs/2508.19620

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions
Extending recommender systems to federated learning (FL) frameworks to protect the privacy of users or platforms while making recommendations has recently gained widespread attention in academia. This is due to the natural coupling of recommender systems and federated learning architectures: the data originates from distributed clients (mostly mobile devices held by users), which are highly related to privacy. In a centralized recommender system (CenRec), the central server collects clients' da…

Neither Valid nor Reliable? Investigating the Use of LLMs as Judges
Khaoula Chehbouni, Mohammed Haddou, Jackie Chi Kit Cheung, Golnoosh Farnadi
https://arxiv.org/abs/2508.18076 …

Neither Valid nor Reliable? Investigating the Use of LLMs as Judges
Evaluating natural language generation (NLG) systems remains a core challenge of natural language processing (NLP), further complicated by the rise of large language models (LLMs) that aims to be general-purpose. Recently, large language models as judges (LLJs) have emerged as a promising alternative to traditional metrics, but their validity remains underexplored. This position paper argues that the current enthusiasm around LLJs may be premature, as their adoption has outpaced rigorous scruti…

CompLex: Music Theory Lexicon Constructed by Autonomous Agents for Automatic Music Generation
Zhejing Hu, Yan Liu, Gong Chen, Bruce X. B. Yu
https://arxiv.org/abs/2508.19603 htt…

CompLex: Music Theory Lexicon Constructed by Autonomous Agents for Automatic Music Generation
Generative artificial intelligence in music has made significant strides, yet it still falls short of the substantial achievements seen in natural language processing, primarily due to the limited availability of music data. Knowledge-informed approaches have been shown to enhance the performance of music generation models, even when only a few pieces of musical knowledge are integrated. This paper seeks to leverage comprehensive music theory in AI-driven music generation tasks, such as algorit…

I’ve been pretty active over on #Pixelfed lately, especially since the story feature came to the official Android app. If you want my photo feed with a great natural vibe, come follow me:
@…

"Human influence reduces natural land carbon stocks by 24%, study finds"
#Carbon #CarbonDioxide
https://

Human influence reduces natural land carbon stocks by 24%, study finds
Human activities, such as deforestation and the expansion of agricultural areas, have a massive impact on the natural state of ecosystems. As a result, large amounts of carbon are released into the atmosphere, contributing substantially to anthropogenic climate change.

By engineering yeast to produce six essential sterols found in pollen, researchers provided bees with a nutritionally complete diet that boosted reproduction up to 15-fold.
Unlike commercial substitutes that lack key nutrients, this supplement mimics natural pollen’s sterol profile, giving bees the equivalent of a balanced diet.
…

Scientists found the missing nutrients bees need — Colonies grew 15-fold
Scientists have developed a breakthrough food supplement that could help save honeybees from devastating declines. By engineering yeast to produce six essential sterols found in pollen, researchers provided bees with a nutritionally complete diet that boosted reproduction up to 15-fold. Unlike commercial substitutes that lack key nutrients, this supplement mimics natural pollen’s sterol profile, giving bees the equivalent of a balanced diet.

RhythmTA: A Visual-Aided Interactive System for ESL Rhythm Training via Dubbing Practice
Chang Chen, Sicheng Song, Shuchang Xu, Zhicheng Li, Huamin Qu, Yanna Lin
https://arxiv.org/abs/2507.19026

RhythmTA: A Visual-Aided Interactive System for ESL Rhythm Training via Dubbing Practice
English speech rhythm, the temporal patterns of stressed syllables, is essential for English as a second language (ESL) learners to produce natural-sounding and comprehensible speech. Rhythm training is generally based on imitation of native speech. However, it relies heavily on external instructor feedback, preventing ESL learners from independent practice. To address this gap, we present RhythmTA, an interactive system for ESL learners to practice speech rhythm independently via dubbing, an i…

Directional Codes: a new family of quantum LDPC codes on hexagonal- and square-grid connectivity hardware
Gy\"orgy P. Geh\'er, David Byfield, Archibald Ruban
https://arxiv.org/abs/2507.19430

Directional Codes: a new family of quantum LDPC codes on hexagonal- and square-grid connectivity hardware
In this paper we construct a new family of quantum low-density parity-check (qLDPC) codes, which we call ``Directional Codes'', that outperforms the rotated planar code (RPC) while naturally meeting the connectivity requirements of the widely adopted square-grid, and some even the sparser hexagonal-grid. The key idea is to utilise the iSWAP gate -- a natural native gate for superconducting qubits -- to construct circuits that measure the stabilisers of these qLDPC codes without the need for any…

Observation of Magnetic Devil's Staircase-Like Behavior in Quasiperiodic Qubit Lattices
Alejandro Lopez-Bezanilla
https://arxiv.org/abs/2507.18818 https://

Observation of Magnetic Devil's Staircase-Like Behavior in Quasiperiodic Qubit Lattices
The devil's staircase (DS) phenomenon is a fractal response of magnetization to external fields, traditionally observed in periodic ferromagnetic systems, where the commensurability between spin arrangements, lattice parameters, and external magnetic fields governs abrupt changes in magnetization. Its occurrence in aperiodic, fractal-type systems has remained largely unexplored, despite their natural compatibility with such phenomena. Using a quantum annealing device, we uncover a wealth of abr…

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction
Ravi Shankar Prasad, Dinesh Singh
https://arxiv.org/abs/2508.18031 https://

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction
Craniofacial reconstruction in forensics is one of the processes to identify victims of crime and natural disasters. Identifying an individual from their remains plays a crucial role when all other identification methods fail. Traditional methods for this task, such as clay-based craniofacial reconstruction, require expert domain knowledge and are a time-consuming process. At the same time, other probabilistic generative models like the statistical shape model or the Basel face model fail to ca…

Graded Ehrhart theory and toric geometry
Ian Cavey
https://arxiv.org/abs/2508.19176 https://arxiv.org/pdf/2508.19176

Graded Ehrhart theory and toric geometry
We give two new constructions of the harmonic algebra of a lattice polytope $P$, a bigraded algebra whose character is the $q$-Ehrhart series of $P$ defined by Reiner and Rhoades. First, we show that the harmonic algebra is the associated graded algebra of the semigroup algebra of $P$ with respect to a certain natural filtration, clarifying it's relationship with the more classical semigroup algebra. We then give a geometric interpretation of the harmonic algebra as a quotient of the ring of gl…

Controllable Conversational Theme Detection Track at DSTC 12
Igor Shalyminov, Hang Su, Jake Vincent, Siffi Singh, Jason Cai, James Gung, Raphael Shu, Saab Mansour
https://arxiv.org/abs/2508.18783

Controllable Conversational Theme Detection Track at DSTC 12
Conversational analytics has been on the forefront of transformation driven by the advances in Speech and Natural Language Processing techniques. Rapid adoption of Large Language Models (LLMs) in the analytics field has taken the problems that can be automated to a new level of complexity and scale. In this paper, we introduce Theme Detection as a critical task in conversational analytics, aimed at automatically identifying and categorizing topics within conversations. This process can signific…

Loss of spawning pools, insects and marshy habitats has had ‘catastrophic effect on our flora and fauna’ https://www.theguardian.com/environment/2025/sep/15/hedgehogs-salmon-and-birds-at-risk-after-dry-summer-says-natural…

CityHood: An Explainable Travel Recommender System for Cities and Neighborhoods
Gustavo H Santos, Myriam Delgado, Thiago H Silva
https://arxiv.org/abs/2507.18778 https://…

CityHood: An Explainable Travel Recommender System for Cities and Neighborhoods
We present CityHood, an interactive and explainable recommendation system that suggests cities and neighborhoods based on users' areas of interest. The system models user interests leveraging large-scale Google Places reviews enriched with geographic, socio-demographic, political, and cultural indicators. It provides personalized recommendations at city (Core-Based Statistical Areas - CBSAs) and neighborhood (ZIP code) levels, supported by an explainable technique (LIME) and natural-language ex…

A Standing Support Mobility Robot for Enhancing Independence in Elderly Daily Living
Ricardo J. Manr\'iquez-Cisterna, Ankit A. Ravankar, Jose V. Salazar Luces, Takuro Hatsukari, Yasuhisa Hirata
https://arxiv.org/abs/2508.19816

A Standing Support Mobility Robot for Enhancing Independence in Elderly Daily Living
This paper presents a standing support mobility robot "Moby" developed to enhance independence and safety for elderly individuals during daily activities such as toilet transfers. Unlike conventional seated mobility aids, the robot maintains users in an upright posture, reducing physical strain, supporting natural social interaction at eye level, and fostering a greater sense of self-efficacy. Moby offers a novel alternative by functioning both passively and with mobility support, enabling user…

Generative Interfaces for Language Models
Jiaqi Chen, Yanzhe Zhang, Yutong Zhang, Yijia Shao, Diyi Yang
https://arxiv.org/abs/2508.19227 https://arxiv.org/…

Generative Interfaces for Language Models
Large language models (LLMs) are increasingly seen as assistants, copilots, and consultants, capable of supporting a wide range of tasks through natural conversation. However, most systems remain constrained by a linear request-response format that often makes interactions inefficient in multi-turn, information-dense, and exploratory tasks. To address these limitations, we propose Generative Interfaces for Language Models, a paradigm in which LLMs respond to user queries by proactively generati…

Adaptive Command: Real-Time Policy Adjustment via Language Models in StarCraft II
Weiyu Ma, Dongyu Xu, Shu Lin, Haifeng Zhang, Jun Wang
https://arxiv.org/abs/2508.16580 https://…

Adaptive Command: Real-Time Policy Adjustment via Language Models in StarCraft II
We present Adaptive Command, a novel framework integrating large language models (LLMs) with behavior trees for real-time strategic decision-making in StarCraft II. Our system focuses on enhancing human-AI collaboration in complex, dynamic environments through natural language interactions. The framework comprises: (1) an LLM-based strategic advisor, (2) a behavior tree for action execution, and (3) a natural language interface with speech capabilities. User studies demonstrate significant impr…

🏳️‍🌈 My flags are a total disaster, it looks gloriously bad in here, and honestly, I live for that chaotic energy.
🏳️‍⚧️ I’m so unapologetically gay and proudly gender-fluid, you wouldn’t even believe it.
#PrideFlag #Pride

Ehrhart non-positivity and unimodular triangulations for classes of s-lecture hall simplices
Jhon B. Caicedo, Martina Juhnke, Germain Poullot
https://arxiv.org/abs/2508.18890 ht…

Ehrhart non-positivity and unimodular triangulations for classes of s-lecture hall simplices
Counting lattice points and triangulating polytopes is a prominent subject in discrete geometry, yet proving Ehrhart positivity or existence of unimodular triangulations remain of utmost difficulty in general, even for ``easy'' simplices. We study these questions for classes of s-lecture hall simplices. Inspired by a question of Olsen, we present a new natural class of sequences s for which the s-lecture hall simplices are not Ehrhart positive, by explicitly estimating a negative coefficient. M…

Breaking Barriers in Software Testing: The Power of AI-Driven Automation
Saba Naqvi, Mohammad Baqar
https://arxiv.org/abs/2508.16025 https://arxiv.org/pdf/…

Breaking Barriers in Software Testing: The Power of AI-Driven Automation
Software testing remains critical for ensuring reliability, yet traditional approaches are slow, costly, and prone to gaps in coverage. This paper presents an AI-driven framework that automates test case generation and validation using natural language processing (NLP), reinforcement learning (RL), and predictive models, embedded within a policy-driven trust and fairness model. The approach translates natural language requirements into executable tests, continuously optimizes them through learn…

I just read about #FootpathFriday and thought this photo from my last blogpost could fit as well.
I took it on a hike in the #schwarzwald . At first I thought that the light is just ways too bright and the shadows too hard for a "proper photo". But I remembered this style …

AgriChrono: A Multi-modal Dataset Capturing Crop Growth and Lighting Variability with a Field Robot
Jaehwan Jeong, Tuan-Anh Vu, Mohammad Jony, Shahab Ahmad, Md. Mukhlesur Rahman, Sangpil Kim, M. Khalid Jawed
https://arxiv.org/abs/2508.18694

AgriChrono: A Multi-modal Dataset Capturing Crop Growth and Lighting Variability with a Field Robot
Existing datasets for precision agriculture have primarily been collected in static or controlled environments such as indoor labs or greenhouses, often with limited sensor diversity and restricted temporal span. These conditions fail to reflect the dynamic nature of real farmland, including illumination changes, crop growth variation, and natural disturbances. As a result, models trained on such data often lack robustness and generalization when applied to real-world field scenarios. In this p…

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios
Luana Bulla, Gabriele Tuccio, Misael Mongiov\`i, Aldo Gangemi
https://arxiv.org/abs/2508.18183

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios
Translating natural languages into sign languages is a highly complex and underexplored task. Despite growing interest in accessibility and inclusivity, the development of robust translation systems remains hindered by the limited availability of parallel corpora which align natural language with sign language data. Existing methods often struggle to generalize in these data-scarce environments, as the few datasets available are typically domain-specific, lack standardization, or fail to captur…

Natural Peanut Butter Ice Cream (Vegan) #plantbased

Natural Peanut Butter Ice Cream (Vegan)
A natural peanut butter ice cream recipe is a plant-based must-have in your recipe arsenal. Make it when you crave a peanutty treat.

Lessons from Biophilic Design: Rethinking Affective Interaction Design in Built Environments
Shruti Rao, Judith Good, Hamed Alavi
https://arxiv.org/abs/2508.19867 https://

Lessons from Biophilic Design: Rethinking Affective Interaction Design in Built Environments
The perspectives of affective interaction in built environments are largely overlooked and instead dominated by affective computing approaches that view emotions as "static", computable states to be detected and regulated. To address this limitation, we interviewed architects to explore how biophilic design -- our deep-rooted emotional connection with nature -- could shape affective interaction design in smart buildings. Our findings reveal that natural environments facilitate self-directed emo…

Equivariant volumes of symmetric edge polytopes
Tito Augusto Cuchilla, Joseph Hound, Cole Plepel, Andr\'es R. Vindas-Mel\'endez, Louis Ye
https://arxiv.org/abs/2507.18846

Equivariant volumes of symmetric edge polytopes
The symmetric edge polytope ($\mathrm{SEP}$) of a finite simple graph $G$ is a centrally symmetric lattice polytope whose vertices are defined by the edges of the graph. Among the information encoded by these polytopes are the symmetries of the graph, which appear as symmetries of the polytope. We find an explicit relationship between the relative volumes of the subsets of the symmetric edge polytope $\mathrm{SEP}(G)$ fixed by the natural action of symmetric group elements and the symmetric edg…

'Am Fluss' #FotoVorschlag
This is a #photo from a walk last winter in a moor nearby. The slowly lifting fog made a really cool atmosphere.
#landscape

LaTeXTrans: Structured LaTeX Translation with Multi-Agent Coordination
Ziming Zhu, Chenglong Wang, Shunjie Xing, Yifu Huo, Fengning Tian, Quan Du, Di Yang, Chunliang Zhang, Tong Xiao, Jingbo Zhu
https://arxiv.org/abs/2508.18791

LaTeXTrans: Structured LaTeX Translation with Multi-Agent Coordination
Despite the remarkable progress of modern machine translation (MT) systems on general-domain texts, translating structured LaTeX-formatted documents remains a significant challenge. These documents typically interleave natural language with domain-specific syntax, such as mathematical equations, tables, figures, and cross-references, all of which must be accurately preserved to maintain semantic integrity and compilability. In this paper, we introduce LaTeXTrans, a collaborative multi-agent sys…

Most Caribbean coral reefs to stop growing by 2040, study warns https://news.mongabay.com/short-article/2025/09/most-caribbean-coral-reefs-to-stop-growing-by-2040-study-warns/

Most Caribbean coral reefs to stop growing by 2040, study warns
Most coral reefs in the Caribbean could stop growing, and even start eroding away, by 2040 if global warming continues unchecked, a new study finds.  Coral reefs, especially those near shores, protect valuable coastlines from flooding during cyclones and storm surges by breaking up wave energy. For the reefs to continue to act as natural […]

Scalable and consistent few-shot classification of survey responses using text embeddings
Jonas Timmann Mjaaland, Markus Fleten Kreutzer, Halvor Tyseng, Rebeckah K. Fussell, Gina Passante, N. G. Holmes, Anders Malthe-S{\o}renssen, Tor Ole B. Odden
https://arxiv.org/abs/2508.19836

Scalable and consistent few-shot classification of survey responses using text embeddings
Qualitative analysis of open-ended survey responses is a commonly-used research method in the social sciences, but traditional coding approaches are often time-consuming and prone to inconsistency. Existing solutions from Natural Language Processing such as supervised classifiers, topic modeling techniques, and generative large language models have limited applicability in qualitative analysis, since they demand extensive labeled data, disrupt established qualitative workflows, and/or yield var…

Cooperative Design Optimization through Natural Language Interaction
Ryogo Niwa, Shigeo Yoshida, Yuki Koyama, Yoshitaka Ushiku
https://arxiv.org/abs/2508.16077 https://

Cooperative Design Optimization through Natural Language Interaction
Designing successful interactions requires identifying optimal design parameters. To do so, designers often conduct iterative user testing and exploratory trial-and-error. This involves balancing multiple objectives in a high-dimensional space, making the process time-consuming and cognitively demanding. System-led optimization methods, such as those based on Bayesian optimization, can determine for designers which parameters to test next. However, they offer limited opportunities for designers…

Better Language Model-Based Judging Reward Modeling through Scaling Comprehension Boundaries
Meiling Ning, Zhongbao Zhang, Junda Ye, Jiabao Guo, Qingyuan Guan
https://arxiv.org/abs/2508.18212

Better Language Model-Based Judging Reward Modeling through Scaling Comprehension Boundaries
The emergence of LM-based judging reward modeling, represented by generative reward models, has successfully made reinforcement learning from AI feedback (RLAIF) efficient and scalable. To further advance this paradigm, we propose a core insight: this form of reward modeling shares fundamental formal consistency with natural language inference (NLI), a core task in natural language understanding. This reframed perspective points to a key path for building superior reward models: scaling the mod…

Affective Polarization across European Parliaments
Bojan Evkoski, Igor Mozeti\v{c}, Nikola Ljube\v{s}i\'c, Petra Kralj Novak
https://arxiv.org/abs/2508.18916 https://…

Affective Polarization across European Parliaments
Affective polarization, characterized by increased negativity and hostility towards opposing groups, has become a prominent feature of political discourse worldwide. Our study examines the presence of this type of polarization in a selection of European parliaments in a fully automated manner. Utilizing a comprehensive corpus of parliamentary speeches from the parliaments of six European countries, we employ natural language processing techniques to estimate parliamentarian sentiment. By compar…

Harmonious Color Pairings: Insights from Human Preference and Natural Hue Statistics
Ortensia Forni, Alexandre Darmon, Michael Benzaquen
https://arxiv.org/abs/2508.15777 https:/…

Harmonious Color Pairings: Insights from Human Preference and Natural Hue Statistics
While color harmony has long been studied in art and design, a clear consensus remains elusive, as most models are grounded in qualitative insights or limited datasets. In this work, we present a quantitative, data-driven study of color pairing preferences using controlled hue-based palettes in the HSL color space. Participants evaluated combinations of thirteen distinct hues, enabling us to construct a preference matrix and define a combinability index for each color. Our results reveal that p…

Extractive Fact Decomposition for Interpretable Natural Language Inference in one Forward Pass
Nicholas Popovi\v{c}, Michael F\"arber
https://arxiv.org/abs/2509.18901 https…