Tootfinder

Semantic-Augmented Latent Topic Modeling with LLM-in-the-Loop
Mengze Hong, Chen Jason Zhang, Di Jiang
https://arxiv.org/abs/2507.08498 https://

Semantic-Augmented Latent Topic Modeling with LLM-in-the-Loop
Latent Dirichlet Allocation (LDA) is a prominent generative probabilistic model used for uncovering abstract topics within document collections. In this paper, we explore the effectiveness of augmenting topic models with Large Language Models (LLMs) through integration into two key phases: Initialization and Post-Correction. Since the LDA is highly dependent on the quality of its initialization, we conduct extensive experiments on the LLM-guided topic clustering for initializing the Gibbs sampl…

Scientists say your “mind” isn’t confined to your brain, or even your body
http://qz.com/866352/scientists-say-your-mind-isnt-confined-to-your-brain-or-even-your-bod…

Scientists say your “mind” isn’t confined to your brain, or even your body
You might wonder, at some point today, what’s going on in another person’s mind. You may compliment someone’s great mind, or say they are out of their mind. You may even try to expand or free your own mind.

Minerals were all the talk at the largest Ukraine Recovery Conference: https://benborges.xyz/2025/07/14/minerals-were-all-the-talk.html

What a valid lab test report for #SolarEclipse glasses looks like - from an SEC talk by Richard Fienberg who also co-authored a scientific paper on this topic in 2021: https://iopscience.iop.org/article/10.3847/1538-3881/ac013e 7/n

To encourage a mental flow state, I listen to 'zone music'. Whenever I have to concentrate, I turn this music on.
The songs below are also a Pomodoro 25min so it's break time when the song ends.
✅ INFO: Maintaining focus w/ “Music to Code By”
https://kurtsh.com/2015/05/05/i…

INFO: Maintaining focus w/ “Music to Code By”
Totally off topic, but it relates to a few posts I made 5-10 years ago.  INFOMANIA. ALIVE & WELL. One of my interests is the study of “Infomania”, a syndrome described by Hewlett Packard R…

Let me think about what really radicalized me. I’m autistic, so I forget things fast. I need to dig into my brain and find that quirky, weird thing or topic that made me feel radical years ago.
It might be something I hyperfocused on or a strange idea that stuck with me for a long time. I’ll try to find it and figure out what pushed me to where I am now.
I’ll post it when I find it. Sometimes it takes me a bit to dig through all the thoughts and memories in my brain, especially w…

#bbuzz Barcamp 2025: What a start! A huge thank you to everyone who joined. Here are some first impressions of this amazing afternoon.
A huge thank you to Nick Burch for his fantastic job hosting the Barcamp.

A Topic Modeling Analysis of Stigma Dimensions, Social, and Related Behavioral Circumstances in Clinical Notes Among Patients with HIV
Ziyi Chen, Yiyang Liu, Mattia Prosperi, Krishna Vaddiparti, Robert L Cook, Jiang Bian, Yi Guo, Yonghui Wu
https://arxiv.org/abs/2506.09279

A Topic Modeling Analysis of Stigma Dimensions, Social, and Related Behavioral Circumstances in Clinical Notes Among Patients with HIV
Objective: To characterize stigma dimensions, social, and related behavioral circumstances in people living with HIV (PLWHs) seeking care, using natural language processing methods applied to a large collection of electronic health record (EHR) clinical notes from a large integrated health system in the southeast United States. Methods: We identified 9,140 cohort of PLWHs from the UF Health IDR and performed topic modeling analysis using Latent Dirichlet Allocation (LDA) to uncover stigma dimen…

I had the opportunity to deliver a 1.5-hour session at @… on the topic of "Transport Modelling at SBB", as part of the course "Introduction to Transportation Systems". As an external expert from the industry, I shared insights over three chapters:
1️⃣ Data for Transport Modelling
2️⃣ Modelling Landscape at SBB and in Switzerland
3️⃣ SI…

DS@GT at LongEval: Evaluating Temporal Performance in Web Search Systems and Topics with Two-Stage Retrieval
Anthony Miyaguchi, Imran Afrulbasha, Aleksandar Pramov
https://arxiv.org/abs/2507.08360

DS@GT at LongEval: Evaluating Temporal Performance in Web Search Systems and Topics with Two-Stage Retrieval
Information Retrieval (IR) models are often trained on static datasets, making them vulnerable to performance degradation as web content evolves. The DS@GT competition team participated in the Longitudinal Evaluation of Model Performance (LongEval) lab at CLEF 2025, which evaluates IR systems across temporally distributed web snapshots. Our analysis of the Qwant web dataset includes exploratory data analysis with topic modeling over time. The two-phase retrieval system employs sparse keyword se…

Enhancing Parameter Control Policies with State Information
Gianluca Covini, Denis Antipov, Carola Doerr
https://arxiv.org/abs/2507.08368 https://

Enhancing Parameter Control Policies with State Information
Parameter control and dynamic algorithm configuration study how to dynamically choose suitable configurations of a parametrized algorithm during the optimization process. Despite being an intensively researched topic in evolutionary computation, optimal control policies are known only for very few cases, limiting the development of automated approaches to achieve them. With this work we propose four new benchmarks for which we derive optimal or close-to-optimal control policies. More precisel…

On my way to event "Energy security in uncertain times. The role of gas storages in the energy system" organized by EBN.
Important topic. At Common Futures, we analyzed the future need for gas storages to enable the use of increasing volumes of EU biomethane:
https://www.

Using Gas Infrastructure for Biomethane
Using Gas Infrastructure for Biomethane

Reach, which has 450 newsletters, launches free, topic-based Substack newsletters, as it seeks to expand its current estimated 35M monthly UK audience (Charlotte Tobitt/Press Gazette)
https://pressgazette.co.uk/newsletters

DTECT: Dynamic Topic Explorer & Context Tracker
Suman Adhya, Debarshi Kumar Sanyal
https://arxiv.org/abs/2507.07910 https://arxiv…

DTECT: Dynamic Topic Explorer & Context Tracker
The explosive growth of textual data over time presents a significant challenge in uncovering evolving themes and trends. Existing dynamic topic modeling techniques, while powerful, often exist in fragmented pipelines that lack robust support for interpretation and user-friendly exploration. We introduce DTECT (Dynamic Topic Explorer & Context Tracker), an end-to-end system that bridges the gap between raw textual data and meaningful temporal insights. DTECT provides a unified workflow that sup…

«The UN Made AI-Generated Refugees»
Sure, the authors will frame this as 'we needed to explore this technology', but tell me that "getting a publication on a 'sexy' topic" and "potential funding" didn't play a role…
https://www.404media.co/the-un-made-ai-generated-refugees/

Why Substack Shouldn’t Be the Future of Online Publishing (Torment Nexus, 8 July 2024)
https://torment-nexus.mathewingram.com/why-substack-shouldnt-be-the-future-of-online-publishing/

During the last week in May, the leading topic on the 5Calls app was opposition to a provision of the House budget bill restraining judges’ ability to enforce contempt sanctions (17,600 calls).
The rest of the Top 5 topics were slashing Medicare and Medicaid (13,658 calls);
cuttinggender-affirming care (7,697 calls);
attacks on so-called “woke” universities (7,319 calls);
and other “harmful provisions” in the megabill (7,142 calls).
The issues change slightly e…

5 Calls
Spend 5 minutes. Make 5 calls. Make your voice heard.

Variation in the size of the Photon Sphere and Black Hole Shadow in the Modified Gravity
Kanav Ganguly, Ajay Kumar Sharma, Murli Manohar Verma
https://arxiv.org/abs/2506.10414

Variation in the size of the Photon Sphere and Black Hole Shadow in the Modified Gravity
Black hole shadows are a widespread topic in astrophysics. This paper searches for an optical view of the black hole and the relationship between black hole shadow and photon sphere with curvature. We were inspired by the observations of Sagittarius $A^*$ and supermassive black hole M87$*$ through the Event Horizon Telescope. We have found the signature of the modified theory of gravity on the photon sphere and shadow. We considered $f(R)$ modified theory of gravity and new scalar degree of fre…

Attention-Based Map Encoding for Learning Generalized Legged Locomotion
Junzhe He, Chong Zhang, Fabian Jenelten, Ruben Grandia, Moritz B\"Acher, Marco Hutter
https://arxiv.org/abs/2506.09588

Attention-Based Map Encoding for Learning Generalized Legged Locomotion
Dynamic locomotion of legged robots is a critical yet challenging topic in expanding the operational range of mobile robots. It requires precise planning when possible footholds are sparse, robustness against uncertainties and disturbances, and generalizability across diverse terrains. While traditional model-based controllers excel at planning on complex terrains, they struggle with real-world uncertainties. Learning-based controllers offer robustness to such uncertainties but often lack preci…

Recently I had a flashback to me telling a friend that I was about to start learning a new concept in programming. Classes. I remember feeling nervous because I felt it was this huge complicated topic, and I already felt my brain was 'full' so-to-speak with programming knowledge. Well that was years ago and now I can't imagine not using classes. It's amazing to look back and see progress! #coding

Academic conferences often pick talk submissions on the basis of 2 or 3 review scores, which I guess has no real statistical power, especially without any of the balancing usually done with things like likert scales when they're treated properly.. different people treat the scores very differently and that should be accounted for or it's really just down to chance. Researchers can be very unscientific sometimes!
Better to just ask
- does this properly address the topic of …

I had my browser set to autotranslate, so I read this piece in English (although ironically I can read German too, but perhaps not well on this topic), but if you don't have this feature, here's an English language piece on the hack.
https://caliber.az/en/po…

Media: Russian hackers target key Bundeswehr suppliers in serious cyberattacks | Caliber.Az
Two suppliers to the German Bundeswehr have recently been subjected to serious cyberattacks, likely carried out by Russian hackers. According to Tagesschau, journalists...

The reason ESP, for example, is not considered a viable topic in contemporary
psychology is simply that its investigation has not proven fruitful...After
more than 70 years of study, there still does not exist one example of an ESP
phenomenon that is replicable under controlled conditions. This simple but
basic scientific criterion has not been met despite dozens of studies conducted
over many decades...It is for this reason alone that the topic is now of little

The hackathon FIRSTCON25 takes place physically at 37th ANNUAL FIRST CONFERENCE on Sunday 22nd June in Copenhagen.
GCVE.eu topic has been added to the hackathon.
🔗 About the hackathon https://discourse.ossbase.org/c/hackathon-firstcon25/12
🔗 GCVE.eu topic

hackathon@FIRSTCON25
FIRST is the global Forum of Incident Response and Security Teams and this category is for the hackathon at FIRSTCON25

Top Ocean Experts Sound the Alarm Over Growing Marine Crisis Due To Climate Change https://insideclimatenews.org/news/04062025/one-ocean-science-congress…

Top Ocean Experts Sound the Alarm Over Growing Marine Crisis Due To Climate Change - Inside Climate News
On the opening day of a global science conference, French fishery scientist Clea Abello presented research showing that marine protected areas could protect commercially valuable fisheries.

This story of an ex-Googler is well worth reading. After some personal observations, @… asks interesting questions:
What is crypto mining if not a textbook Captain Planet villain scheme—to kill and raze and destroy for nothing but imaginary tokens proving that you did lots of killing and razing and …

Tree-Structured Parzen Estimator Can Solve Black-Box Combinatorial Optimization More Efficiently
Kenshin Abe, Yunzhuo Wang, Shuhei Watanabe
https://arxiv.org/abs/2507.08053 https://arxiv.org/pdf/2507.08053 https://arxiv.org/html/2507.08053
arXiv:2507.08053v1 Announce Type: new
Abstract: Tree-structured Parzen estimator (TPE) is a versatile hyperparameter optimization (HPO) method supported by popular HPO tools. Since these HPO tools have been developed in line with the trend of deep learning (DL), the problem setups often used in the DL domain have been discussed for TPE such as multi-objective optimization and multi-fidelity optimization. However, the practical applications of HPO are not limited to DL, and black-box combinatorial optimization is actively utilized in some domains, e.g., chemistry and biology. As combinatorial optimization has been an untouched, yet very important, topic in TPE, we propose an efficient combinatorial optimization algorithm for TPE. In this paper, we first generalize the categorical kernel with the numerical kernel in TPE, enabling us to introduce a distance structure to the categorical kernel. Then we discuss modifications for the newly developed kernel to handle a large combinatorial search space. These modifications reduce the time complexity of the kernel calculation with respect to the size of a combinatorial search space. In the experiments using synthetic problems, we verified that our proposed method identifies better solutions with fewer evaluations than the original TPE. Our algorithm is available in Optuna, an open-source framework for HPO.
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This https://arxiv.org/abs/2506.03988 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors
AI-generated images have reached a quality level at which humans are incapable of reliably distinguishing them from real images. To counteract the inherent risk of fraud and disinformation, the detection of AI-generated images is a pressing challenge and an active research topic. While many of the presented methods claim to achieve high detection accuracy, they are usually evaluated under idealized conditions. In particular, the adversarial robustness is often neglected, potentially due to a la…

Modular versus Hierarchical: A Structural Signature of Topic Popularity in Mathematical Research
Brian Hepler
https://arxiv.org/abs/2506.22946 https://

Modular versus Hierarchical: A Structural Signature of Topic Popularity in Mathematical Research
Mathematical researchers, especially those in early-career positions, face critical decisions about topic specialization with limited information about the collaborative environments of different research areas. The aim of this paper is to study how the popularity of a research topic is associated with the structure of that topic's collaboration network, as observed by a suite of measures capturing organizational structure at several scales. We apply these measures to 1,938 algorithmically disc…

I've been listening to a podcast by the German public broadcaster ​ARD about the end of the world. Every episode had a different topic and one was about AI. It was mostly sourced from an interview with a youtuber but one idea is now stuck in my head: what if AI doesn't launch nukes but develops into an all-powerful actor whose aims are not aligned with those of human survival? Do we have a precedent?
Yes. There are such super-human and quasi-immortal beings here on earth today…

Superstudent intelligence in thermodynamics
Rebecca Loubet, Pascal Zittlau, Marco Hoffmann, Luisa Vollmer, Sophie Fellenz, Heike Leitte, Fabian Jirasek, Johannes Lenhard, Hans Hasse
https://arxiv.org/abs/2506.09822

Superstudent intelligence in thermodynamics
In this short note, we report and analyze a striking event: OpenAI's large language model o3 has outwitted all students in a university exam on thermodynamics. The thermodynamics exam is a difficult hurdle for most students, where they must show that they have mastered the fundamentals of this important topic. Consequently, the failure rates are very high, A-grades are rare - and they are considered proof of the students' exceptional intellectual abilities. This is because pattern learning does…

On the topic, I thought this series was quite good:
https://99percentinvisible.org/nbft/
It does a really good job of bringing together the threads of climate change, infrastructure, and the experiences of human beings.

DIAMOND DRAGON - Catgirl Cyberpunk Action! ( Updated 6/19/25 ) - Gameplay Mods - Doomworld
https://www.doomworld.com/forum/topic/153613-diamond-dragon-catgirl-cyberpunk-action-updated-61925/

Distribution-free inference for LightGBM and GLM with Tweedie loss
Alokesh Manna, Aditya Vikram Sett, Dipak K. Dey, Yuwen Gu, Elizabeth D. Schifano, Jichao He
https://arxiv.org/abs/2507.06921

Distribution-free inference for LightGBM and GLM with Tweedie loss
Prediction uncertainty quantification is a key research topic in recent years scientific and business problems. In insurance industries (\cite{parodi2023pricing}), assessing the range of possible claim costs for individual drivers improves premium pricing accuracy. It also enables insurers to manage risk more effectively by accounting for uncertainty in accident likelihood and severity. In the presence of covariates, a variety of regression-type models are often used for modeling insurance clai…

This https://arxiv.org/abs/2403.18487 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Singularity: a Seventh Memo?
In this paper we explore the relationships between Calvino's memos and Mathematics. In the first part, we discuss how Lightness, Quickness, Exactitude, Visibility, Multiplicity are present in the mathematical language, reasoning and in the work of the mathematician. In addiction, we follow a similar path for the topics of Calvino's lecture of which we only know the title or some notes. In the final part, we explain why `Singularity' could be chosen as a possible topic for Calvino's seventh lect…

Here comes the next #AAS246 presser, number 3 of 5: https://www.youtube.com/watch?v=Z7niXAHqkLg. The topic is "Planets, Exoplanets, and Brown Dwarfs", and the presentations are https://aas.org/meetings/aas246/press-kit#Tue_am

Started reading this and it's already funny.
Apparently in 50bc years the hottest political topic in Roman Empire was a problem of refugees coming from northern regions.
https://www.thalia.de/shop/home/artikeldetails/A1052821267

Composite Optimization with Indicator Functions: Stationary Duality and a Semismooth Newton Method
Penghe Zhang, Naihua Xiu, Houduo Qi
https://arxiv.org/abs/2506.08374

Composite Optimization with Indicator Functions: Stationary Duality and a Semismooth Newton Method
Indicator functions of taking values of zero or one are essential to numerous applications in machine learning and statistics. The corresponding primal optimization model has been researched in several recent works. However, its dual problem is a more challenging topic that has not been well addressed. One possible reason is that the Fenchel conjugate of any indicator function is finite only at the origin. This work aims to explore the dual optimization for the sum of a strongly convex function…

This https://arxiv.org/abs/2405.20771 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Towards Black-Box Membership Inference Attack for Diffusion Models
Given the rising popularity of AI-generated art and the associated copyright concerns, identifying whether an artwork was used to train a diffusion model is an important research topic. The work approaches this problem from the membership inference attack (MIA) perspective. We first identify the limitation of applying existing MIA methods for proprietary diffusion models: the required access of internal U-nets. To address the above problem, we introduce a novel membership inference attack metho…

Why Does Your Brain Always Expect the Worst? https://www.psychologytoday.com/us/blog/traumatization-and-its-aftermath/202506/why-does-your…

Why Does Your Brain Always Expect the Worst?
Your brain constantly predicts the future based on past pain, but you can retrain it and turn catastrophic thinking into hope.

Walk Matrix-Based Upper Bounds on Generalized Cospectral Mates
Muhammad Raza, Mudassir Shabbir, Waseem Abbas
https://arxiv.org/abs/2507.06927 https://

Walk Matrix-Based Upper Bounds on Generalized Cospectral Mates
The problem of characterizing graphs determined by their spectrum (DS) or generalized spectrum (DGS) has been a longstanding topic of interest in spectral graph theory, originating from questions in chemistry and mathematical physics. While previous studies primarily focus on identifying whether a graph is DGS, we address a related yet distinct question: how many non-isomorphic generalized cospectral mates a graph can have? Building upon recent advances that connect this question to the propert…

Shifting Narratives: A Longitudinal Analysis of Media Trends and Public Attitudes on Homelessness
Akshay Irudayaraj (Brown University), Nathan Ye (University of California--Berkeley), Yash Chainani (University of California--Berkeley)
https://arxiv.org/abs/2506.21794

Shifting Narratives: A Longitudinal Analysis of Media Trends and Public Attitudes on Homelessness
Within the field of media framing, homelessness has been a historically under-researched topic. Framing theory states that the media's method of presenting information plays a pivotal role in controlling public sentiment toward a topic. The sentiment held towards homeless individuals influences their ability to access jobs, housing, and resources as a result of discrimination. This study analyzes the topic and sentiment trends in related media articles to validate framing theory within the scop…

How conservatives beat back a Republican sell-off of public lands
To his surprise, Patrick Payne had ended up in a group text with Mike Lee.

Payne is a conservative Idaho outdoorsman who voted for President Donald Trump.
Lee is a Republican senator from Utah.
The group was organized by an acquaintance Payne made online, and the topic was home schooling.

But Payne saw an opportunity to directly challenge Lee on his proposal to sell up to 3.3 million acres of fe…

How conservatives beat back a Republican sell-off of public lands
When a GOP senator proposed using federal land for affordable housing, right-wing forces revolted to protect what they see as a symbol of American greatness.

Nesting focusable elements is problematic. Have you seen any good blogposts, docs, or other #accessibility resources that go into *why* nesting is problematic?
I’m looking for something I could link to in a blogpost of my own, on a somewhat different topic. Preference is for something in-depth, and not marketing slop for a company (especially not for anyone affiliated with an overlay vendo…

Exploring Empathy in Software Engineering: Insights from a Grey Literature Analysis of Practitioners' Perspectives
Lidiany Cerqueira, Jo\~ao Pedro Bastos, Danilo Neves, Glauco Carneiro, Rodrigo Sp\'inola, S\'avio Freire, Jos\'e Amancio Macedo Santos, Manoel Mendon\c{c}a
https://arxiv.org/abs/2507.05325

Exploring Empathy in Software Engineering: Insights from a Grey Literature Analysis of Practitioners' Perspectives
Context. Empathy, a key social skill, is essential for communication and collaboration in SE but remains an under-researched topic. Aims. This study investigates empathy in SE from practitioners' perspectives, aiming to characterize its meaning, identify barriers, discuss practices to overcome them, and explore its effects. Method. A qualitative content analysis was conducted on 55 web articles from DEV and Medium, two communities widely used by practitioners. To strengthen our findings, we con…

'"Time handling is everywhere in software, but many programmers talk about the topic with dread and fear. Some warn about how difficult the topic is to understand, listing bizarre timezone edge cases as evidence of complexity. Others repeat advice like "just use UTC bro" as if it were an unconditional rule - if your program needs precise timekeeping or has user-facing datetime interactions, this advice will almost certainly cause bugs or confusing behavior. Here's a co…

REVEALED: Jun 6, 2025
Science & Tech:
⬜️⬜️⬜️⬜️⬜️
⬜️⬜️⬜️⬜️⬜️⬜️
⬜️⬜️⬜️⬜️⬜️⬜️⬜️
I solved it in 1️⃣ Reveals & 0️⃣ Hints!
#Revealed #WordPuzzle
…

Revealed, a Daily Puzzle Game | Britannica
Uncover something interesting: Guess the topic using the fewest Reveals and Hints. Topics include People, Science & Tech, History & Society, and more.

Want to check the google trends for a topic? Use {gtrendsR} directly from within your favorite language: #googletrends

GitHub - PMassicotte/gtrendsR: R functions to perform and display Google Trends queries
R functions to perform and display Google Trends queries - PMassicotte/gtrendsR

High heating rate effects in sintering: A phase-field study of La-doped alumina
Marco Seiz, Tomohiro Takaki
https://arxiv.org/abs/2506.07353 https://

High heating rate effects in sintering: A phase-field study of La-doped alumina
In recent years high heating rate sintering methods have become a hot topic for reasons of energy efficiency and microstructural optimization. This paper aims to shed light on the microstructural evolution these methods induce by means of phase-field modeling and simulations. A particle-based temperature model suited for the sintering process is developed and coupled with a multiphysics phase-field solver. It is shown that the coupled model exhibits many characteristics typical of high heating …

Agentic Retrieval of Topics and Insights from Earnings Calls
Anant Gupta, Rajarshi Bhowmik, Geoffrey Gunow
https://arxiv.org/abs/2507.07906 https://arxiv.org/pdf/2507.07906 https://arxiv.org/html/2507.07906
arXiv:2507.07906v1 Announce Type: new
Abstract: Tracking the strategic focus of companies through topics in their earnings calls is a key task in financial analysis. However, as industries evolve, traditional topic modeling techniques struggle to dynamically capture emerging topics and their relationships. In this work, we propose an LLM-agent driven approach to discover and retrieve emerging topics from quarterly earnings calls. We propose an LLM-agent to extract topics from documents, structure them into a hierarchical ontology, and establish relationships between new and existing topics through a topic ontology. We demonstrate the use of extracted topics to infer company-level insights and emerging trends over time. We evaluate our approach by measuring ontology coherence, topic evolution accuracy, and its ability to surface emerging financial trends.
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“it is a truth of this website that no matter what position you hold on any topic, one of the most terminally online people on earth whose full time job appears to be getting angry on the internet will appear to declare that you are a centrist” https://bsky.app/profile/did:plc:3s5wt

Testing Hypotheses of Covariate Effects on Topics of Discourse
Gabriel Phelan, David A. Campbell
https://arxiv.org/abs/2506.05570 https://

Testing Hypotheses of Covariate Effects on Topics of Discourse
We introduce an approach to topic modelling with document-level covariates that remains tractable in the face of large text corpora. This is achieved by de-emphasizing the role of parameter estimation in an underlying probabilistic model, assuming instead that the data come from a fixed but unknown distribution whose statistical functionals are of interest. We propose combining a convex formulation of non-negative matrix factorization with standard regression techniques as a fast-to-compute and…

Interleaving Logic and Counting
Johan van Benthem, Thomas Icard
https://arxiv.org/abs/2507.05219 https://arxiv.org/pdf/2507.05219

Interleaving Logic and Counting
Reasoning with quantifier expressions in natural language combines logical and arithmetical features, transcending strict divides between qualitative and quantitative. Our topic is this cooperation of styles as it occurs in common linguistic usage and its extension into the broader practice of natural language plus "grassroots mathematics". We begin with a brief review of first-order logic with counting operators and cardinality comparisons. This system is known to be of high complexity, and …

Join the 2025 Maine AI 'unconference' on June 13 in Orono for face-to-face discussions whose topics will be democratically chosen by the attenders. (We've got expert panels too.) Register by this Friday—more at https://www.linkedin.com/posts/jonippolito

In the last two weeks, I've read two different people expressing a general complaint about normal use of hashtags, and I just don't get it. Can someone explain this viewpoint to me?
To be clear, I am not talking about someone who quietly chooses not to use hashtags in their own toots.
Also, I am not talking about hashtag spamming, the deliberate use of off-topic tags.
#MastodonQuestion

Antiquantum $q$-series and mock theta functions
Amanda Folsom, David Metacarpa
https://arxiv.org/abs/2507.03824 https://arxiv.org/pdf…

Antiquantum $q$-series and mock theta functions
Ramanujan's original definition of mock theta functions from 1920 involves their asymptotic behaviors at roots of unity on the boundary of the disk of convergence $|q|<1$. More recently this topic has been related by several authors, including the first author with Ono and Rhoades in 2013, to quantum modular forms, first defined in 2010 by Zagier. In 2021, Lovejoy defined and studied related quantum $q$-series identities, which do not hold as equalities between power series inside the…

Agreed, I love my #Switch2 https://gizmodo.com/nintendo-switch-2-review-the…

Nintendo Switch 2 Review: The Ultimate Handheld and It's Not Even Close
The Switch 2 "1-Ups" the groundbreaking original in every single way.

Catastrophizing in Tinnitus and Balance Disorders
https://www.psychologytoday.com/us/blog/sound-mind/202506/catastrophizing-in-tinnitus-and-balance-disorders?utm_source=fli…

Catastrophizing in Tinnitus and Balance Disorders
Catastrophizing links disordered sensory processing to the emotional and functional burden of tinnitus and dizziness.

from my link log —
Writing that can change how you think about programming languages.
https://bernsteinbear.com/blog/pl-writing/
saved 2025-05-13

ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering
Alexander Hoyle, Lorena Calvo-Bartolom\'e, Jordan Boyd-Graber, Philip Resnik
https://arxiv.org/abs/2507.00828

ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering
Topic model and document-clustering evaluations either use automated metrics that align poorly with human preferences or require expert labels that are intractable to scale. We design a scalable human evaluation protocol and a corresponding automated approximation that reflect practitioners' real-world usage of models. Annotators -- or an LLM-based proxy -- review text items assigned to a topic or cluster, infer a category for the group, then apply that category to other documents. Using this p…

People are still not paying nearly enough attention to what @… wrote here:
https://pluralistic.net/2024/07/14/fracture-lines/
“The American right is a brittle coalition.”
The topic above is a prime example. There are two MAGA constituencies here — employers and workers — who think they’re about to get exactly opposite things. Both are going along with the ICE program because they think they’re the ones who will really get what they want in the end. At least one of them is going to get screwed over.
6/

Recent Advances in Maximum-Entropy Sampling
Marcia Fampa, Jon Lee
https://arxiv.org/abs/2507.05066 https://arxiv.org/pdf/2507.05066…

Recent Advances in Maximum-Entropy Sampling
In 2022, we published a book, \emph{Maximum-Entropy Sampling: Algorithms and Application (Springer)}. Since then, there have been several notable advancements on this topic. In this manuscript, we survey some recent highlights.

This https://arxiv.org/abs/2505.20011 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

The Many Challenges of Human-Like Agents in Virtual Game Environments
Human-like agents are an increasingly important topic in games and beyond. Believable non-player characters enhance the gaming experience by improving immersion and providing entertainment. They also offer players the opportunity to engage with AI entities that can function as opponents, teachers, or cooperating partners. Additionally, in games where bots are prohibited -- and even more so in non-game environments -- there is a need for methods capable of identifying whether digital interaction…

Second #AAS246 presser beginning on https://www.youtube.com/watch?v=gJjSZu9ob8Q - the topic is "From Molecules to Molecular Clouds: Discoveries in the Milky Way", the topics are listed in https://aas.org/meetings/aas246/press-kit#Mon_pm

Which ML techniques can emerge, and which ones should be engineered?
I've shared my perspective on this seldomly discussed topic: https://consistos.github.io

SoK: Machine Unlearning for Large Language Models
Jie Ren, Yue Xing, Yingqian Cui, Charu C. Aggarwal, Hui Liu
https://arxiv.org/abs/2506.09227 https://

SoK: Machine Unlearning for Large Language Models
Large language model (LLM) unlearning has become a critical topic in machine learning, aiming to eliminate the influence of specific training data or knowledge without retraining the model from scratch. A variety of techniques have been proposed, including Gradient Ascent, model editing, and re-steering hidden representations. While existing surveys often organize these methods by their technical characteristics, such classifications tend to overlook a more fundamental dimension: the underlying…

Higher-Order Harmonics Reduction in Reset-Based Control Systems: Application to Precision Positioning Systems
S. Ali Hosseini, Nima Karbasizadeh, S. Hassan HosseiniNia
https://arxiv.org/abs/2507.04707

Higher-Order Harmonics Reduction in Reset-Based Control Systems: Application to Precision Positioning Systems
To address the limitations imposed by Bode's gain-phase relationship in linear controllers, a reset-based filter called the Constant in gain- Lead in phase (CgLp) filter has been introduced. This filter consists of a reset element and a linear lead filter. However, the sequencing of these two components has been a topic of debate. Positioning the lead filter before the reset element in the loop leads to noise amplification in the reset signal, whereas placing the lead filter after the reset ele…

Does Overnight News Explain Overnight Returns?
Paul Glasserman, Kriste Krstovski, Paul Laliberte, Harry Mamaysky
https://arxiv.org/abs/2507.04481 https://

Does Overnight News Explain Overnight Returns?
Over the past 30 years, nearly all the gains in the U.S. stock market have been earned overnight, while average intraday returns have been negative or flat. We find that a large part of this effect can be explained through features of intraday and overnight news. Our analysis uses a collection of 2.4 million news articles. We apply a novel technique for supervised topic analysis that selects news topics based on their ability to explain contemporaneous market returns. We find that time variatio…

I don't fully get the instinct to reject and attack the Abundance book. If you think it's too small then it seems easy to "yes and" with your own ideas.
At one point they call the book a conspiracy?
It seems to me Ezra talked with people trying to install solar and got one answer. Aaron says when he talked to similar people he got a different one. that is an interesting topic to look more into!

From random matrices to systems of particles in interaction
Valentin Pesce (CMAP)
https://arxiv.org/abs/2507.03400 https://arxiv.org/…

From random matrices to systems of particles in interaction
The goal of these expository notes is to give an introduction to random matrices for non-specialist of this topic focusing on the link between random matrices and systems of particles in interaction. We first recall some general results about the random matrix theory that create a link between random matrices and systems of particles through the knowledge of the law of the eigenvalues of certain random matrices models. We next focus on a continuous in time approach of random matrices called the…

#LB Esse texto sobre LLMs do @… é bem grande, mas excelente. Vale a leitura, apesar do tamanho.
…

Simplified Construction of Integer Dimension Hausdorff Measures
Luis A. Cede\~no P\'erez
https://arxiv.org/abs/2507.06540 https://

Simplified Construction of Integer Dimension Hausdorff Measures
A simplified construction of the integer dimension Hausdorff measures is given applying methods of geometry and generalized convergence. This construction prioritizes integration, yields the Area Formula as a byproduct of the construction and the Coarea Formula follows indirectly from the smooth case. Though this construction is not as general as the traditional one, it provides a much simpler introduction to the topic and is enough for certain applications to Geometric Analysis.

I had skipped that video by Folding Ideas when it came out because I wasn’t interested in the topic. Saw it referred to in a blog post recently so I watched it. Highly recommended because *spoiler* of course there‘s a twist halfway through. Kinda like when he meticulously disproved the flat earth in another video.
https://www.

Replaced article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/3]:
- Non-negative matrix factorization algorithms generally improve topic model fits
Peter Carbonetto, Abhishek Sarkar, Zihao Wang, Matthew Stephens

Novel Blockchain-based Protocols for Electronic Voting and Auctions
Zhaorun Lin
https://arxiv.org/abs/2507.03258 https://arxiv.org/pd…

Novel Blockchain-based Protocols for Electronic Voting and Auctions
Programmable blockchains have long been a hot research topic given their tremendous use in decentralized applications. Smart contracts, using blockchains as their underlying technology, inherit the desired properties such as verifiability, immutability, and transparency, which make it a great suit in trustless environments. In this thesis, we consider several decentralized protocols to be built on blockchains, specifically using smart contracts on Ethereum. We used algorithmic and cryptograph…

The U.S. State Facing “Unlivable” Heat by 2030 https://weather-fox.com/the-u-s-state-facing-unlivable-heat-by-2030-1-316105/?utm_source=dlvr.it&utm_content=topic/climate&ut…

The U.S. State Facing “Unlivable” Heat by 2030
Imagine a place in the United States where stepping outside feels like walking into an oven—where summer days sizzle with such intensity that even basic outdoor activities become dangerous.

A flexible, GPU-accelerated approach for the joint characterization of LISA instrumental noise and Stochastic Gravitational Wave Backgrounds
Alessandro Santini, Martina Muratore, Jonathan Gair, Olaf Hartwig
https://arxiv.org/abs/2507.06300

A flexible, GPU-accelerated approach for the joint characterization of LISA instrumental noise and Stochastic Gravitational Wave Backgrounds
LISA data analysis represents one of the most challenging tasks ahead for the future of gravitational-wave (GW) astronomy. Characterizing the instrument's noise properties while fitting for all the other detectable sources is a key requirement of any robust inference pipeline. Noise estimation will also play a crucial role in searches and parameter estimation of cosmological and astrophysical stochastic signals. Previous studies have tackled this topic by assuming perfect knowledge of the spect…

LearnLens: LLM-Enabled Personalised, Curriculum-Grounded Feedback with Educators in the Loop
Runcong Zhao, Artem Borov, Jiazheng Li, Yulan He
https://arxiv.org/abs/2507.04295

LearnLens: LLM-Enabled Personalised, Curriculum-Grounded Feedback with Educators in the Loop
Effective feedback is essential for student learning but is time-intensive for teachers. We present LearnLens, a modular, LLM-based system that generates personalised, curriculum-aligned feedback in science education. LearnLens comprises three components: (1) an error-aware assessment module that captures nuanced reasoning errors; (2) a curriculum-grounded generation module that uses a structured, topic-linked memory chain rather than traditional similarity-based retrieval, improving relevance …

This https://arxiv.org/abs/2411.04564 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

A Generalisation of Voter Model: Influential Nodes and Convergence Properties
Consider an undirected graph G, representing a social network, where each node is blue or red, corresponding to positive or negative opinion on a topic. In the voter model, in discrete time rounds, each node picks a neighbour uniformly at random and adopts its colour. Despite its significant popularity, this model does not capture some fundamental real-world characteristics such as the difference in the strengths of individuals connections, individuals with neutral opinion on a topic, and indiv…

Machine Learning Study of the Surface Reconstructions of Cu$_{2}$O(111) Surface
Payal Wadhwa, Michael Schmid, Georg Kresse
https://arxiv.org/abs/2507.05026

Machine Learning Study of the Surface Reconstructions of Cu$_{2}$O(111) Surface
The atomic structure of the most stable reconstructed surface of cuprous oxide (Cu$_{2}$O)(111) surface has been a longstanding topic of debate. In this study, we develop on-the-fly machine-learned force fields (MLFFs) to systematically investigate the various reconstructions of the Cu$_{2}$O(111) surface under stoichiometric as well as O- and Cu-deficient or rich conditions, focusing on both ($\sqrt{3}$$\times$$\sqrt{3}$)R30° and (2$\times$2) supercells. By utilizing parallel tempering simula…

The Illusion of Fairness: Auditing Fairness Interventions with Audit Studies
Disa Sariola, Patrick Button, Aron Culotta, Nicholas Mattei
https://arxiv.org/abs/2507.02152

The Illusion of Fairness: Auditing Fairness Interventions with Audit Studies
Artificial intelligence systems, especially those using machine learning, are being deployed in domains from hiring to loan issuance in order to automate these complex decisions. Judging both the effectiveness and fairness of these AI systems, and their human decision making counterpart, is a complex and important topic studied across both computational and social sciences. Within machine learning, a common way to address bias in downstream classifiers is to resample the training data to offset…

For example:
- Telling apart photos of cats and dogs is “AI.”
- Making up fake but plausible facts on an arbitrary topic is “AI.”
- Walking is “AI.”
- Doing long multiplication is something we might call “intelligence” in humans, but it is not “AI” because computers have •always• been good at it.
- Winning at checkers •used• to be “AI” because computers didn’t used to be able to do that, but now it’s not “AI” because computers have been good at it for too long.
5/

Methodological Rigour in Algorithm Application: An Illustration of Topic Modelling Algorithm
Malmi Amadoru
https://arxiv.org/abs/2507.00547 https://…

Methodological Rigour in Algorithm Application: An Illustration of Topic Modelling Algorithm
The rise of advanced computational algorithms has opened new avenues for computationally intensive research approaches to theory development. However, the opacity of these algorithms and lack of transparency and rigour in their application pose methodological challenges, potentially undermining trust in research. The discourse on methodological rigour in this new genre of research is still emerging. Against this backdrop, I attempt to offer guidance on methodological rigour, particularly in the…

Turns out the human mind sees what it wants to see, not what you actually see
https://bgr.com/science/turns-out-the-human-mind-sees-what-it-wants-to-see-not-what-you-actually-s…

Turns out the human mind sees what it wants to see, not what you actually see
Researchers have discovered that how the brain sees can vary depending on whether a scene plays out the way the mind expects or not.

Flexible Operator Fusion for Fast Sparse Transformer with Diverse Masking on GPU
Wenhao Dai, Haodong Deng, Mengfei Rong, Xinyu Yang, Hongyu Liu, Fangxin Liu, Hailong Yang, Weifeng Liu, Qingxiao Sun
https://arxiv.org/abs/2506.06095

Flexible Operator Fusion for Fast Sparse Transformer with Diverse Masking on GPU
Large language models are popular around the world due to their powerful understanding capabilities. As the core component of LLMs, accelerating Transformer through parallelization has gradually become a hot research topic. Mask layers introduce sparsity into Transformer to reduce calculations. However, previous works rarely focus on the performance optimization of sparse Transformer. Moreover, rule-based mechanisms ignore the fusion opportunities of mixed-type operators and fail to adapt to va…

The Hidden Connection Between Comedy and Depression
https://www.psychologytoday.com/us/blog/parenting-from-a-neuroscience-perspective/202506/the-hidde…

The Hidden Connection Between Comedy and Depression
Discover the surprising science behind why so many comedians battle depression—and how humor can both heal and hurt.

Evolution of Dark Energies and Compact Objects in 4D Einstein Gauss Bonnet Gravity induced Universe A Data Based Perspective
Puja Mukherjee, Himanshu Chaudhary, Ujjal Debnath, G. Mustafa
https://arxiv.org/abs/2507.05223

Evolution of Dark Energies and Compact Objects in 4D Einstein Gauss Bonnet Gravity induced Universe A Data Based Perspective
Cosmic evolution is the most sensational topic among researchers of modern cosmology. This article explores cosmic evolution in 4D Einstein Gauss Bonnet (EGB) gravity, focusing on mass accretion of compact objects (black holes and wormholes) by dark energy (DE). Three DE models Chevallier Polarski Linder (CPL), Jassal Bagla Padmanabhan (JBP), and Barboza Alcaniz (BA) parameterizations are studied within 4D EGB gravity, with their Hubble parameters derived and compared against observational data…

For example:
- Telling apart photos of cats and dogs is “AI.”
- Making up fake but plausible facts on an arbitrary topic is “AI.”
- Walking is “AI.”
- Doing long multiplication is something we might call “intelligence” in humans, but it is not “AI” because computers have •always• been good at it.
- Winning at checkers •used• to be “AI” because computers didn’t used to be able to do that, but now it’s not “AI” because computers have been good at it for too long.
5/

Moog Messenger Review
https://www.gearnews.com/moog-messenger-review/?utm_source=flipboard&utm_content=topic/musicnews

Moog Messenger Review - gearnews.com
The new Moog Messenger aims to deliver classic monophonic Moog sounds at a lower price. Read our review to find out if Moog is on the right track.

Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models
Kai-Robin Lange, Tobias Schmidt, Matthias Reccius, Henrik M\"uller, Michael Roos, Carsten Jentsch
https://arxiv.org/abs/2506.20269

Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models
With rapidly evolving media narratives, it has become increasingly critical to not just extract narratives from a given corpus but rather investigate, how they develop over time. While popular narrative extraction methods such as Large Language Models do well in capturing typical narrative elements or even the complex structure of a narrative, applying them to an entire corpus comes with obstacles, such as a high financial or computational cost. We propose a combination of the language understa…

Excite Audio and KSHMR team up for South Asian-inspired software instrument based on authentic recordings https://www.musicradar.com/music-tech/exci…

Excite Audio and KSHMR team up for South Asian-inspired software instrument based on authentic recordings
"This came out a desire to create the ultimate Indian sample library, using the most talented musicians that I've met over the years"

Moog Messenger Review https://www.gearnews.com/moog-messenger-review/?utm_source=dlvr.it&utm_content=topic/musicnews&utm_medium=mastodon

Moog Messenger Review - gearnews.com
The new Moog Messenger aims to deliver classic monophonic Moog sounds at a lower price. Read our review to find out if Moog is on the right track.

More on this topic, via @…:
https://sfba.social/@drahardja/114723617680343066

Why Does Your Brain Always Expect the Worst?
#MentalHealth #BeBetter

Why Does Your Brain Always Expect the Worst?
Your brain constantly predicts the future based on past pain, but you can retrain it and turn catastrophic thinking into hope.

This https://arxiv.org/abs/2505.19669 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Zero-Shot Streaming Text to Speech Synthesis with Transducer and Auto-Regressive Modeling
Zero-shot streaming text-to-speech is an important research topic in human-computer interaction. Existing methods primarily use a lookahead mechanism, relying on future text to achieve natural streaming speech synthesis, which introduces high processing latency. To address this issue, we propose SMLLE, a streaming framework for generating high-quality speech frame-by-frame. SMLLE employs a Transducer to convert text into semantic tokens in real time while simultaneously obtaining duration align…

Lawyers Just Discovered Something About Meta's AI That Could Cost Zuckerberg Untold Billions of Dollars https://futurism.com/lawyer-zuckerberg-ai?utm_source=dlvr.it&utm_content=topic/artificial…

Lawyers Just Discovered Something About Meta's AI That Could Cost Zuckerberg Untold Billions of Dollars
A legal expert found that Meta's AI is able to spit out entire portions of books verbatim — and if he's right, Meta is in huge trouble.

This https://arxiv.org/abs/2505.19946 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Inverse Q-Learning Done Right: Offline Imitation Learning in $Q^π$-Realizable MDPs
We study the problem of offline imitation learning in Markov decision processes (MDPs), where the goal is to learn a well-performing policy given a dataset of state-action pairs generated by an expert policy. Complementing a recent line of work on this topic that assumes the expert belongs to a tractable class of known policies, we approach this problem from a new angle and leverage a different type of structural assumption about the environment. Specifically, for the class of linear $Q^π$-rea…

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique
Stephan Sturm
https://arxiv.org/abs/2506.01815

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique
We provide an introduction to the topic of path signatures as means of feature extraction for machine learning from data streams. The article stresses the mathematical theory underlying the signature methodology, highlighting the conceptual character without plunging into the technical details of rigorous proofs. These notes are based on an introductory presentation given to students of the Research Experience for Undergraduates in Industrial Mathematics and Statistics at Worcester Polytechnic …

You just need 20 minutes, a kettlebell and this metcon workout to help you build total body strength at home https://www.tomsguide.com/welln…

You just need 20 minutes, a kettlebell and this metcon workout to help you build total body strength at home
Build lean muscle and strength from your living room

Piano basics: the black notes - what are they for and how do you use them? https://www.musicradar.com/music-tech/keyb…

Piano basics: the black notes - what are they for and how do you use them?
Fear of a black key?… Don't be afraid. Adding flats and sharps to your music will give it a new lease of life.