Tootfinder

Designs for Queen Elizabeth’s Memorial Reflect a ‘Quietly Monumental’ Life Close to Nature https://www.goodnewsnetwork.org/designs-for-queen-elizabeths-memorial-reflect-a-quietly-monumental-life-close-to-nature/

Designs for Queen Elizabeth's Memorial Reflect a 'Quietly Monumental' Life Close to Nature
Organized by the Queen Elizabeth Memorial Committee, the chief aim is to design “an emotionally powerful place” in St. James' Park.

Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility
Michael A. Lepori, Jennifer Hu, Ishita Dasgupta, Roma Patel, Thomas Serre, Ellie Pavlick
https://arxiv.org/abs/2507.12553

Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility
Language models (LMs) are used for a diverse range of tasks, from question answering to writing fantastical stories. In order to reliably accomplish these tasks, LMs must be able to discern the modal category of a sentence (i.e., whether it describes something that is possible, impossible, completely nonsensical, etc.). However, recent studies have called into question the ability of LMs to categorize sentences according to modality (Michaelov et al., 2025; Kauf et al., 2023). In this work, we …

I am super-pleased to be serving on the PC of the excellent and much-needed "Undone Science in CS" 2026: "to provide an opportunity to pause and reflect on the epistemological and ethical aspects of computer science". For much more information, please see:
https://www.undonecs.org/2026/…

The Thing quadrant of the Fantastic Four tie-in pizza is Italian Sausage and Bacon, to reflect Ben Grimm's jewish heritage?
https://gizmodo.com/i-have-questions-about-the-official-fantastic-four-pizza-2000616477

I Have Questions About the Official 'Fantastic Four' Pizza
The food tie-ins with Marvel's next movie offer some very curious choices.

BT Group CEO Allison Kirkby says AI could deepen job cuts at the telco, whose plan to cut over 40,000 jobs by 2030 "did not reflect the full potential of AI" (Financial Times)
https://www.ft.com/content/c8d41424-f2d9-418e-8da2-55823f1c22ca

BT chief eyes deeper job cuts as AI becomes more powerful
Allison Kirkby says telecoms group could be ‘even smaller’ by 2030

QUEST: Quality-aware Semi-supervised Table Extraction for Business Documents
Eliott Thomas, Mickael Coustaty, Aurelie Joseph, Gaspar Deloin, Elodie Carel, Vincent Poulain D'Andecy, Jean-Marc Ogier
https://arxiv.org/abs/2506.14568

QUEST: Quality-aware Semi-supervised Table Extraction for Business Documents
Automating table extraction (TE) from business documents is critical for industrial workflows but remains challenging due to sparse annotations and error-prone multi-stage pipelines. While semi-supervised learning (SSL) can leverage unlabeled data, existing methods rely on confidence scores that poorly reflect extraction quality. We propose QUEST, a Quality-aware Semi-supervised Table extraction framework designed for business documents. QUEST introduces a novel quality assessment model that ev…

Comment on "Properties and dynamics of generalized squeezed states"
Rub\'en Gordillo, Ricardo Puebla
https://arxiv.org/abs/2507.12250 https:/…

Comment on "Properties and dynamics of generalized squeezed states"
A recent article [S. Ashhab and M. Ayyash, New J. Phys. 27, 054104 (2025)] has reported unexpected oscillatory dynamics in generalized squeezed states of order higher than two as their squeezing parameter increases. This behaviour, observed through numerical simulations using truncated bosonic annihilation and creation operators, appeared in several properties of these states, including their average photon number. The authors argued that these oscillations reflect a genuine physical effect. He…

orGAN: A Synthetic Data Augmentation Pipeline for Simultaneous Generation of Surgical Images and Ground Truth Labels
Niran Nataraj, Maina Sogabe, Kenji Kawashima
https://arxiv.org/abs/2506.14303

orGAN: A Synthetic Data Augmentation Pipeline for Simultaneous Generation of Surgical Images and Ground Truth Labels
Deep learning in medical imaging faces obstacles: limited data diversity, ethical issues, high acquisition costs, and the need for precise annotations. Bleeding detection and localization during surgery is especially challenging due to the scarcity of high-quality datasets that reflect real surgical scenarios. We propose orGAN, a GAN-based system for generating high-fidelity, annotated surgical images of bleeding. By leveraging small "mimicking organ" datasets, synthetic models that replicate t…

Discovering Coordinated Processes From Social Online Networks
Anna Kalenkova, Lewis Mitchell, Ethan Johnson
https://arxiv.org/abs/2506.12988 https://

Discovering Coordinated Processes From Social Online Networks
The rapid growth of social media presents a unique opportunity to study coordinated agent behavior in an unfiltered environment. Online processes often exhibit complex structures that reflect the nature of the user behavior, whether it is authentic and genuine, or part of a coordinated effort by malicious agents to spread misinformation and disinformation. Detection of AI-generated content can be extremely challenging due to the high quality of large language model-generated text. Therefore, ap…

So as @… pointed out, "Sneaky way to include the Russian flag in your official messaging." 🤔
#USpol #dod

Cowboys first-year HC Brian Schottenheimer on his late father, Marty: 'I know he's proud; I miss him like crazy' https://www.nfl.com/news/cowboys-first-year-hc-brian-schottenheimer-on-his-la…

I saw on a couple of Facebook posts that exits on I-27 in Texas are being renumbered to reflect its new origin around Laredo in the future.
#roadgeek

Magnetoencephalography (MEG) Based Non-Invasive Chinese Speech Decoding
Zhihong Jia, Hongbin Wang, Yuanzhong Shen, Feng Hu, Jiayu An, Kai Shu, Dongrui Wu
https://arxiv.org/abs/2506.12817

Magnetoencephalography (MEG) Based Non-Invasive Chinese Speech Decoding
As an emerging paradigm of brain-computer interfaces (BCIs), speech BCI has the potential to directly reflect auditory perception and thoughts, offering a promising communication alternative for patients with aphasia. Chinese is one of the most widely spoken languages in the world, whereas there is very limited research on speech BCIs for Chinese language. This paper reports a text-magnetoencephalography (MEG) dataset for non-invasive Chinese speech BCIs. It also proposes a multi-modality assis…

OpenAI told investors stock compensation jumped over 5x last year to $4.4B, or 119% of total revenue for that period but expects it to drop to under 10% by 2030 (Sri Muppidi/The Information)
https://www.theinformation.com/articles/op

OpenAI’s Stock Compensation Reflect Steep Costs of Talent Wars
OpenAI has signaled it will hike pay for some employees in the wake of a raid by Meta Platforms on its artificial intelligence researchers. That could mean a significant increase in the billions of dollars in stock awards it already accounts for, threatening tofurther diluteinvestors after a ...

Such a powerful sobering, statement and also a call to continually reflect on what we are each doing in this moment. https://time.com/7285045/resigning-national-science-foundation-library-congress/

When topics of discourse prove difficult to approach, stories can help us on our way. This famed short story about a graceful city with an unexpected abberation helps me reflect on where I want to apply my capacity for writing, sketching and teaching.

https://axbom.com/omelas/

#DigitalEthics

🔊 #NowPlaying on #BBCRadio3:
#SundayMorning
- Your perfect Sunday soundtrack
Sarah Walker with three hours of classical music to reflect, restore and refresh, whether you’re tackling chores, enjoying a brew, or simply watching the clouds go by.
Relisten now 👇
https://www.bbc.co.uk/programmes/m002fm1c

Bad times in history often have names that reflect what happened like the Dark ages . What do you think future historians will call the trump/maga era?

Just finished "Statistically Speaking" by Debbie Johnson. It's coincidentally the second book dealing with adoption that I've just finished, though I suspect in both cases not #OwnVoices, which I also suspect matters somewhat. I was well-absorbed and enjoyed it immensely, but was left again with the reservation that I'm sure it may reflect only that small facet of real life which is pleasing and/or tolerable to a wide audience, and may thus in its own way make things more difficult for those whose realities it does not reflect. I find myself very glad to have also recently read Mama by Nikkya Hargrove, which is autobiographical and which as a result of having more real-world complexity drives its similar point about found family home with more force, to me (to be fair, Johnson's work has a decent amount of real life complexity, for a novel).
#AmReading

CMI-Bench: A Comprehensive Benchmark for Evaluating Music Instruction Following
Yinghao Ma, Siyou Li, Juntao Yu, Emmanouil Benetos, Akira Maezawa
https://arxiv.org/abs/2506.12285 …

CMI-Bench: A Comprehensive Benchmark for Evaluating Music Instruction Following
Recent advances in audio-text large language models (LLMs) have opened new possibilities for music understanding and generation. However, existing benchmarks are limited in scope, often relying on simplified tasks or multi-choice evaluations that fail to reflect the complexity of real-world music analysis. We reinterpret a broad range of traditional MIR annotations as instruction-following formats and introduce CMI-Bench, a comprehensive music instruction following benchmark designed to evaluat…

How to enter Ukraine’s defense market: A short guide for foreign companies: https://benborges.xyz/2025/07/08/how-to-enter-ukraines-defense.html

Leaders We Deserve
invests in candidates who reflect our generation and its values
matching them with the resources they need to run strong campaigns,
win, and change the face of power.
Think EMILYs List for young, progressive courageous candidates.
Leaders We Deserve invests in young people, knocks down these barriers, and elects more young people to office.

About Us | Leaders We Deserve
Young Progressive candidates face systemic barriers. At every level of government, the average politician is older than the average American. Our political system is stacked against young people – in favor of those who are older, …

from my link log —
A Rust API inspired by Python, powered by Serde.
https://ohadravid.github.io/posts/2025-05-serde-reflect/
saved 2025-05-15

A Rust API Inspired by Python, Powered by Serde
Years ago, I worked on reimplementing some Python code in Rust and needed to adapt Python’s dynamic reflection capabilities (aka __getattr__) to the strict and …

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving
Akshar Tumu, Henrik I. Christensen, Marcell Vazquez-Chanlatte, Chikao Tsuchiya, Dhaval Bhanderi
https://arxiv.org/abs/2506.10317

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving
Lane-topology prediction is a critical component of safe and reliable autonomous navigation. An accurate understanding of the road environment aids this task. We observe that this information often follows conventions encoded in natural language, through design codes that reflect the road structure and road names that capture the road functionality. We augment this information in a lightweight manner to SMERF, a map-prior-based online lane-topology prediction model, by combining structured road…

Related to understanding firearms, "rifles" and hand guns tend to be rifled. Rifling is grooving that runs in a helical pattern down the barrel. When purchasing a firearm, it's important to check the rifling.
First check that the firearm is unloaded. Empty or remove the magazine, cycle the weapon. Next, check again that it's unloaded by looking both down the barrel and into the magazine. Now, shine a light down the barrel and look down it. In the absence of a light, you may be able to reflect light off your thumbnail.
Rifling should look as though it's drawn on with a sharp pencil, and the barrel should look otherwise completely smooth and clean. If the rifling looks like bumpy mountains, then the owner probably used corrosive ammo and didn't clean it enough. It will probably still shoot, but not at all accurately.
Both the rifling and the pin can be used in forensic analysis to match a bullet to a gun. I don't honestly know how accurate this is because a lot of forensic "science" is just made up stuff that relies on the CSI effect and doesn't actually work as advertised.
However, not all firearms are not all rifled. Shotguns are "smoothbore" firearms, meaning they lack rifling. It is not possible to perform forensic analysis of a smoothbore firearm. It *is* possible to check for powder on the hands of someone who has used a firearm within the last few days, but it's not possible to distinguish between firing inside and outside a range.
I've been gathering all kinds of tidbits like this, partially just out of curiosity and partially because I've been wanting to write a story about a revolutionary group fighting a modern authoritarian society. I'm always happy to learn other bits, if anyone has anything else I could throw in my narrative (whenever I finally get back to writing it).

Generalization Error Analysis for Attack-Free and Byzantine-Resilient Decentralized Learning with Data Heterogeneity
Haoxiang Ye, Tao Sun, Qing Ling
https://arxiv.org/abs/2506.09438

Generalization Error Analysis for Attack-Free and Byzantine-Resilient Decentralized Learning with Data Heterogeneity
Decentralized learning, which facilitates joint model training across geographically scattered agents, has gained significant attention in the field of signal and information processing in recent years. While the optimization errors of decentralized learning algorithms have been extensively studied, their generalization errors remain relatively under-explored. As the generalization errors reflect the scalability of trained models on unseen data and are crucial in determining the performance of …

Oh nice! Account notes carry over when someone migrates. @…

@… Hi, I got iocaine running and am looking to use it within Caddy. The docs say "This section is slightly out of date: it is no longer required that the reverse proxy do the bot detection, iocaine can do that itself. This documentation will be updated in the next few days to reflect that."
Any link to where I can have iocaine do t…

Software innovation might be freezing in place—and AI could be to blame. Theo Browne points out that Copilot and ChatGPT often return React-style code even for Solid or Elixir projects. Why? Because they’ve seen React a million times more. Python 3 took a decade to overtake Python 2. If that transition had to happen today, would our dependence on AI suggestions keep us from making the jump?

“This considers how two modern cameras handle a difficult color challenge, illustrated by photos of a perfect rose and a piano.” https://www.tbray.org/ongoing/When/202x/2025/05/31/Colors

Perfectly Different Colors

The New European rebrands as The New World, expands its coverage, and moves to a magazine format; the title made £2.6M in 2024 revenue and had 35K subscribers (Daniel Thomas/Financial Times)
https://www.ft.com/content/a9b5d243-d905-42c4-b62c-1f640175005a…

‘Remainer’ paper New European rebrands to push beyond Brexit roots
Title formed after 2016 UK vote is relaunching as The New World to reflect coverage of global politics and culture

Stop Misusing t-SNE and UMAP for Visual Analytics
Hyeon Jeon, Jeongin Park, Sungbok Shin, Jinwook Seo
https://arxiv.org/abs/2506.08725 https://

Stop Misusing t-SNE and UMAP for Visual Analytics
Misuses of t-SNE and UMAP in visual analytics have become increasingly common. For example, although t-SNE and UMAP projections often do not faithfully reflect true distances between clusters, practitioners frequently use them to investigate inter-cluster relationships. In this paper, we bring this issue to the surface and comprehensively investigate why such misuse occurs and how to prevent it. We conduct a literature review of 114 papers to verify the prevalence of the misuse and analyze the …

Cowboys Get Positive News Right When They Need It https://heavy.com/sports/nfl/dallas-cowboys/cowboys-get-positive-news-right-when/?adt_ei=[email]

The FOMO about the 10-year University of Cambridge REAL Centre Anniversary Celebration Conference is *real*.
If you can't be there in person, join online.
Incredible lineup.
12 June 2025
https://www.eventbrite.co…

AI Human Impact: Toward a Model for Ethical Investing in AI-Intensive Companies
James Brusseau
https://arxiv.org/abs/2507.07703 https://

AI Human Impact: Toward a Model for Ethical Investing in AI-Intensive Companies
Does AI conform to humans, or will we conform to AI? An ethical evaluation of AI-intensive companies will allow investors to knowledgeably participate in the decision. The evaluation is built from nine performance indicators that can be analyzed and scored to reflect a technology's human-centering. The result is objective investment guidance, as well as investors empowered to act in accordance with their own values. Incorporating ethics into financial decisions is a strategy that will be recogn…

The space of multifurcating ranked tree shapes: enumeration, lattice structure, and Markov chains
Julie Zhang, Noah A. Rosenberg, Julia A. Palacios
https://arxiv.org/abs/2506.10856

The space of multifurcating ranked tree shapes: enumeration, lattice structure, and Markov chains
Coalescent models of bifurcating genealogies are used to infer evolutionary parameters from molecular data. However, there are many situations where bifurcating genealogies do not accurately reflect the true underlying ancestral history of samples, and a multifurcating genealogy is required. The space of multifurcating genealogical trees, where nodes can have more than two descendants, is largely underexplored in the setting of coalescent inference. In this paper, we examine the space of rooted…

Electron-phonon couplings in locally disordered materials: The case of hybrid halide perovskites
Marios Zacharias, George Volonakis, Laurent Pedesseau, Claudine Katan, Feliciano Giustino, Jacky Even
https://arxiv.org/abs/2506.09673

Electron-phonon couplings in locally disordered materials: The case of hybrid halide perovskites
Positional polymorphism in solids refers to distributions of correlated locally disordered unit cells which reflect, on average, the high-symmetry structure observed in diffraction experiments. The standard theory of electron-phonon interactions is unable to account for the temperature-dependent electronic structure of polymorphous materials. A prime example of such materials is hybrid halide perovskites, for which calculations of band gaps at finite temperatures do not agree with experiment. H…

Movie Facts and Fibs (MF$^2$): A Benchmark for Long Movie Understanding
Emmanouil Zaranis, Ant\'onio Farinhas, Saul Santos, Beatriz Canaverde, Miguel Moura Ramos, Aditya K Surikuchi, Andr\'e Viveiros, Baohao Liao, Elena Bueno-Benito, Nithin Sivakumaran, Pavlo Vasylenko, Shoubin Yu, Sonal Sannigrahi, Wafaa Mohammed, Ben Peters, Danae S\'anchez Villegas, Elias Stengel-Eskin, Giuseppe Attanasio, Jaehong Yoon, Stella Frank, Alessandro Suglia, Chrysoula Zerva, Desmond Elliott, M…

Movie Facts and Fibs (MF$^2$): A Benchmark for Long Movie Understanding
Despite recent progress in vision-language models (VLMs), holistic understanding of long-form video content remains a significant challenge, partly due to limitations in current benchmarks. Many focus on peripheral, ``needle-in-a-haystack'' details, encouraging context-insensitive retrieval over deep comprehension. Others rely on large-scale, semi-automatically generated questions (often produced by language models themselves) that are easier for models to answer but fail to reflect genuine und…

How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts?
Sohee Yang, Sang-Woo Lee, Nora Kassner, Daniela Gottesman, Sebastian Riedel, Mor Geva
https://arxiv.org/abs/2506.10979

How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts?
Recent reasoning models show the ability to reflect, backtrack, and self-validate their reasoning, which is crucial in spotting mistakes and arriving at accurate solutions. A natural question that arises is how effectively models can perform such self-reevaluation. We tackle this question by investigating how well reasoning models identify and recover from four types of unhelpful thoughts: uninformative rambling thoughts, thoughts irrelevant to the question, thoughts misdirecting the question a…

JOB-Complex: A Challenging Benchmark for Traditional & Learned Query Optimization
Johannes Wehrstein, Timo Eckmann, Roman Heinrich, Carsten Binnig
https://arxiv.org/abs/2507.07471

JOB-Complex: A Challenging Benchmark for Traditional & Learned Query Optimization
Query optimization is a fundamental task in database systems that is crucial to providing high performance. To evaluate learned and traditional optimizer's performance, several benchmarks, such as the widely used JOB benchmark, are used. However, in this paper, we argue that existing benchmarks are inherently limited, as they do not reflect many real-world properties of query optimization, thus overstating the performance of both traditional and learned optimizers. In fact, simple but realistic…

I just updated the prints on my office door to reflect the kind of photos (particularly event photos) that I am taking now -- as well the the new system which supersedes "three sided cards" that attains better branding in every respect except that it doesn't have a name (yet) #photo #photography

Revealing the Hidden Temporal Structure of HubertSoft Embeddings based on the Russian Phonetic Corpus
Anastasia Ananeva, Anton Tomilov, Marina Volkova
https://arxiv.org/abs/2507.06794

Revealing the Hidden Temporal Structure of HubertSoft Embeddings based on the Russian Phonetic Corpus
Self-supervised learning (SSL) models such as Wav2Vec 2.0 and HuBERT have shown remarkable success in extracting phonetic information from raw audio without labelled data. While prior work has demonstrated that SSL embeddings encode phonetic features at the frame level, it remains unclear whether these models preserve temporal structure, specifically, whether embeddings at phoneme boundaries reflect the identity and order of adjacent phonemes. This study investigates the extent to which boundar…

Strain dependent viscous response describes the mechanics of cohesionless soft granular materials
Chandan Shakya, Luca Placidi, Anil Misra, Lars Kool, Anke Lindner, Jasper van der Gucht, Joshua A. Dijksman
https://arxiv.org/abs/2506.08855

Strain dependent viscous response describes the mechanics of cohesionless soft granular materials
Granular materials are ubiquitous in nature and are used extensively in daily life and in industry. The modeling of these materials remains challenging; therefore, finding models with acceptable predictive accuracy that at the same time also reflect the complexity of the granular dynamics is a central research theme in the field. Soft particle packings present additional modeling challenges, as it has become clear that soft particles also have particle-level relaxation timescales that affect th…

Edge State Selective Measurement of Quantum Hall Dispersions
Henok Weldeyesus, Taras Patlatiuk, Qianqian Chen, Christian P. Scheller, Amir Yacoby, Loren N. Pfeiffer, Ken W. West, Dominik M. Zumb\"uhl
https://arxiv.org/abs/2507.07905

Edge State Selective Measurement of Quantum Hall Dispersions
Edge states reflect the key physical properties yet are difficult to probe individually, particularly when several states are present at an edge. We present momentum resolved tunneling spectroscopy between a quantum well and a quantum wire to extract the dispersions of the quantum Hall edge states. Momentum and energy selective tunneling allows to separately address the different states even if they are spatially overlapping. This delivers the edge state velocities over broad ranges of magnetic…

Fellow citizens: What are you going to do between now and July 4, 2026, to protect and preserve our independence from a tinpot dictator❓
So, fellow citizens, I ask you:
Bow down to authoritarianism and normalize anti-democratic behavior.
Or
Reflect on the challenges facing the nation and become an advocate for policies that align with liberty, freedom, sovereignty, democracy, and the principles enshrined in the U.S. Constitution.
This is your America. The choice …

Give Me Liberty or a Tinpot Dictator
Peggy Noonan has been a voice of conservative reflection for The Wall Street Journal since leaving the Ronald Reagan administration as his primary speechwriter. Five of Noonan’s books have been New York Times bestsellers. Consuming every word of her weekly column keeps me politically balanced.In her...

"Researchers call for urgent exploration of methods to cool Earth"
#Climate #ClimateChange

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies
Haoyue Bai, Haoyu Wang, Nanxu Gong, Xinyuan Wang, Wangyang Ying, Haifeng Chen, Yanjie Fu
https://arxiv.org/abs/2507.07355

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies
High responsiveness and economic efficiency are critical objectives in supply chain transportation, both of which are influenced by strategic decisions on shipping mode. An integrated framework combining an efficient simulator with an intelligent decision-making algorithm can provide an observable, low-risk environment for transportation strategy design. An ideal simulation-decision framework must (1) generalize effectively across various settings, (2) reflect fine-grained transportation dynami…

No Midcost Democracy
Hans Gersbach, Arthur Schichl, Oriol Tejada
https://arxiv.org/abs/2507.07300 https://arxiv.org/pdf/2507.07300

No Midcost Democracy
Which level of voting costs is optimal in a democracy? This paper argues that intermediate voting costs - what we term a "Midcost democracy" - should be avoided, as they fail to ensure that electoral outcomes reflect the preferences of the majority. We study a standard binary majority decision in which a majority of the electorate prefers alternative A over alternative B. The population consists of partisan voters, who always participate, and non-partisan voters, who vote only when they believe…

Singapore-based investment app Syfe raised a $53M Series C extension, taking the round to $80M and total funding to $132M, and plans to expand into Hong Kong (Sam Phillips/South China Morning Post)
https://www.scmp.com/tec…

Fintech start-up Syfe bolsters Hong Kong expansion after new funding round
Singapore-based Syfe’s expansion plans reflect the city’s position as the largest hedge fund and cross-border wealth management hub in Asia.

On the statistical nature of Betti numbers and Euler characteristic of smooth random fields
Pravabati Chingangbam
https://arxiv.org/abs/2507.06255 https://…

On the statistical nature of Betti numbers and Euler characteristic of smooth random fields
We represent excursion sets of smooth random fields as unions of a topological basis consisting of a sequence of simply and multiply connected compact subsets of the underlying manifold. The associated coefficients, which are non-negative discrete random variables, reflect the randomness of the field. Betti numbers of the excursion sets can be expressed as summations over the coefficients, and the Euler characteristic and the sum of Betti numbers can also be expressed as their (alternating) sum…

This https://arxiv.org/abs/2501.05616 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Validating Quantum State Preparation Programs
One of the key steps in quantum algorithms is to prepare an initial quantum superposition state with different kinds of features. These so-called state preparation algorithms are essential to the behavior of quantum algorithms, and complicated state preparation algorithms are difficult to develop correctly and effectively. This paper presents Pqasm: a high-assurance framework implemented with the Coq proof assistant, allowing us to certify our Pqasm tool to correctly reflect quantum program beh…

A Sinusoidal Hull-White Model for Interest Rate Dynamics: Capturing Long-Term Periodicity in U.S. Treasury Yields
Amit Kumar Jha
https://arxiv.org/abs/2506.06317

A Sinusoidal Hull-White Model for Interest Rate Dynamics: Capturing Long-Term Periodicity in U.S. Treasury Yields
This study is motivated by empirical observations of periodic fluctuations in interest rates, notably long-term economic cycles spanning decades, which the conventional Hull-White short-rate model fails to adequately capture. To address this limitation, we propose an extension that incorporates a sinusoidal, time-varying mean reversion speed, allowing the model to reflect cyclic interest rate dynamics more effectively. The model is calibrated using a comprehensive dataset of daily U.S. Treasu…

Causal Evidence for the Primordiality of Colors in Trans-Neptunian Objects
Benjamin L. Davis, Mohamad Ali-Dib, Yujia Zheng, Zehao Jin, Kun Zhang, Andrea Valerio Macci\`o
https://arxiv.org/abs/2507.03760

Causal Evidence for the Primordiality of Colors in Trans-Neptunian Objects
The origins of the colors of Trans-Neptunian Objects (TNOs) represent a crucial unresolved question, central to understanding the history of our Solar System. Recent observational surveys have revealed correlations between the eccentricity and inclination of TNOs and their colors. This has rekindled the long-standing debate on whether these colors reflect the conditions of TNO formation or their subsequent collisional evolution. In this study, we address this question with 98.7% certainty, usin…

This https://arxiv.org/abs/2502.13757 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Identifying Metric Structures of Deep Latent Variable Models
Deep latent variable models learn condensed representations of data that, hopefully, reflect the inner workings of the studied phenomena. Unfortunately, these latent representations are not statistically identifiable, meaning they cannot be uniquely determined. Domain experts, therefore, need to tread carefully when interpreting these. Current solutions limit the lack of identifiability through additional constraints on the latent variable model, e.g. by requiring labeled training data, or by r…

Fox News Poll: Economic pessimism abates slightly as voters reflect on the economy (Dana Blanton/Fox News)
https://www.foxnews.com/politics/fox-news-poll-economic-pessimism-abates-slightly
http://www.memeorandum.com/250619/p66#a250619p66

Both Harvard and Columbia are failing to articulate the need and meaning of education, besides economic value. There is no sense of humanity or the humanities or the search for a truths. Both schools are for-profit companies in the minds of their boards, and their presidents reflect that understanding.
From: @…

Hey, just wanted to share this again. I took it last autumn at one of the last warm weekends.
I want to go to the same place again for a longer walk along a nice ridge. - Anyways, this was a really good day with a nice chat with a fellow hiker and great views.
Enjoy.
#mountains #hiking

Label-Efficient Chest X-ray Diagnosis via Partial CLIP Adaptation
Heet Nitinkumar Dalsania
https://arxiv.org/abs/2507.07254 https://a…

Label-Efficient Chest X-ray Diagnosis via Partial CLIP Adaptation
Modern deep learning implementations for medical imaging usually rely on large labeled datasets. These datasets are often difficult to obtain due to privacy concerns, high costs, and even scarcity of cases. In this paper, a label-efficient strategy is proposed for chest X-ray diagnosis that seeks to reflect real-world hospital scenarios. The experiments use the NIH Chest X-ray14 dataset and a pre-trained CLIP ViT-B/32 model. The model is adapted via partial fine-tuning of its visual encoder and…

DeepShop: A Benchmark for Deep Research Shopping Agents
Yougang Lyu, Xiaoyu Zhang, Lingyong Yan, Maarten de Rijke, Zhaochun Ren, Xiuying Chen
https://arxiv.org/abs/2506.02839

DeepShop: A Benchmark for Deep Research Shopping Agents
Web agents for online shopping have shown great promise in automating user interactions across e-commerce platforms. Benchmarks for assessing such agents do not reflect the complexity of real-world shopping scenarios, as they often consist of overly simple queries with deterministic paths, such as "Find iPhone 15." Real shopping scenarios are inherently more layered, involving multi-dimensional product attributes, search filters, and user-specific sorting preferences. To address this gap, we in…

The Emotional Alignment Design Policy
Eric Schwitzgebel, Jeff Sebo
https://arxiv.org/abs/2507.06263 https://arxiv.org/pdf/2507.06263

The Emotional Alignment Design Policy
According to what we call the Emotional Alignment Design Policy, artificial entities should be designed to elicit emotional reactions from users that appropriately reflect the entities' capacities and moral status, or lack thereof. This principle can be violated in two ways: by designing an artificial system that elicits stronger or weaker emotional reactions than its capacities and moral status warrant (overshooting or undershooting), or by designing a system that elicits the wrong type of emo…

Just got a small space heater and damn it’s so much more comfortable here now
As a @… fan I’d prefer if my AC/heat pump supported heating mode, but welp it was already installed when I moved here so an electric heater will do it for the 2 days a year it’s actually cold enough for that to be useful here. Getting all that heat from the bedroom to the living room would be a problem anyway.
And I didn’t even need to make a fire hazard in order to use it since a 20A outlet was already around due to the coffee thingy, yay!
It’s been on for just around 40mins and it’s already sooo much better in here (the temp sensor is not on the side the heater is pointing to (the sofa) so it’ll take a while for it to reflect the change specially since this is a big room (kitchen dinner living), but just pointing the heater to where I’m at is enough to make it a comfortable temperature (and probably even way too hot in a bit)).
I’ve been wanting this for a while, but it never felt worth it bc we don’t really have many cold days here. Tho this year we got some more I think and today was specially cold (9~11°C) so I decided to just do it. Extra points bc it was available on fucking iFood of all places so it arrived less than an hour after I ordered it lmao.

This https://arxiv.org/abs/2406.16267 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Geodesic-based Predictive Shape Modeling of the Right Ventricle in Patients with Hypoplastic Left Heart Syndrome
Hypoplastic left heart syndrome (HLHS) is characterized by severe underdevelopment of left ventricle requiring staged surgical reconstruction (stages) to allow the right ventricle (RV) alone to support the circulation. In this setting changes in RV size and shape over time reflect adaptations to single-ventricle physiology, dysfunction of the associated tricuspid valve (TV), and are associated with circulatory failure. As such, an accurate prediction of the RV shape of a patient would inform un…

Symbiotic Backscatter Communication: A Design Perspective on the Modulation Scheme of Backscatter Devices
Yinghui Ye, Shuang Lu, Liqin Shi, Xiaoli Chu, Sumei Sun
https://arxiv.org/abs/2507.01782

Symbiotic Backscatter Communication: A Design Perspective on the Modulation Scheme of Backscatter Devices
Symbiotic Backscatter Communication (SBC) has emerged as a spectrum-efficient and low-power communication technology, where backscatter devices (BDs) modulate and reflect incident radio frequency (RF) signals from primary transmitters (PTs). While previous studies have assumed a circularly symmetric complex Gaussian (CSCG) distribution for the BD's signal, this assumption may not be practical because the high complexity of generating CSCG signals is not supported by the low-cost BD. In this pap…

This https://arxiv.org/abs/2411.09097 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

On the Selection Stability of Stability Selection and Its Applications
Stability selection is a widely adopted resampling-based framework for high-dimensional variable selection. This paper seeks to broaden the use of an established stability estimator to evaluate the overall stability of the stability selection results, moving beyond single-variable analysis. We suggest that the stability estimator offers two advantages: it can serve as a reference to reflect the robustness of the results obtained, and it can help identify a Pareto optimal regularization value to…

🔊 #NowPlaying on #BBCRadio3:
#SundayMorning
- Your perfect Sunday soundtrack
Petroc Trelawny with three hours of classical music to reflect, restore and refresh, whether you’re brewing a pot of coffee, or driving back from a weekend away.
Relisten now 👇
https://www.bbc.co.uk/programmes/m002f760

Increasing Systemic Resilience to Socioeconomic Challenges: Modeling the Dynamics of Liquidity Flows and Systemic Risks Using Navier-Stokes Equations
Davit Gondauri
https://arxiv.org/abs/2507.05287

Increasing Systemic Resilience to Socioeconomic Challenges: Modeling the Dynamics of Liquidity Flows and Systemic Risks Using Navier-Stokes Equations
Modern economic systems face unprecedented socioeconomic challenges, making systemic resilience and effective liquidity flow management essential. Traditional models such as CAPM, VaR, and GARCH often fail to reflect real market fluctuations and extreme events. This study develops and validates an innovative mathematical model based on the Navier-Stokes equations, aimed at the quantitative assessment, forecasting, and simulation of liquidity flows and systemic risks. The model incorporates 13 m…

Comparison of Path Planning Algorithms for Autonomous Vehicle Navigation Using Satellite and Airborne LiDAR Data
Chang Liu, Zhexiong Xue, Tamas Sziranyi
https://arxiv.org/abs/2507.05884

Comparison of Path Planning Algorithms for Autonomous Vehicle Navigation Using Satellite and Airborne LiDAR Data
Autonomous vehicle navigation in unstructured environments, such as forests and mountainous regions, presents significant challenges due to irregular terrain and complex road conditions. This work provides a comparative evaluation of mainstream and well-established path planning algorithms applied to weighted pixel-level road networks derived from high-resolution satellite imagery and airborne LiDAR data. For 2D road-map navigation, where the weights reflect road conditions and terrain difficul…

So I finished editing my first original music video yesterday. Unfortunately the footage I was given was kinda amateur. I would love to share it, but I'm afraid it will reflect negatively on my professionalism and sense of taste, i.e. my "seriousness". I think the artist is great and the song is awesome. So:

When Numbers Mislead Us
Arthur Charpentier
https://arxiv.org/abs/2507.03628 https://arxiv.org/pdf/2507.03628

When Numbers Mislead Us
The belief that numbers offer a single, objective description of reality overlooks a crucial truth: data does not speak for itself. Every dataset results from choices-what to measure, how, when, and with whom-which inevitably reflect implicit, and sometimes ideological, assumptions about what is worth quantifying. Moreover, in any analysis, what remains unmeasured can be just as significant as what is captured. When a key variable is omitted-whether by neglect, design, or ignorance-it can disto…

Distinguishing True Influence from Hyperprolificity with Citation Distance
Lu Li, Yun Wan, Feng Xiao
https://arxiv.org/abs/2506.03527 https://

Distinguishing True Influence from Hyperprolificity with Citation Distance
Accurately evaluating scholarly influence is essential for fair academic assessment, yet traditional bibliometric indicators - dominated by publication and citation counts - often favor hyperprolific authors over those with deeper, long-term impact. We propose the x-index, a novel citation-based metric that conceptualizes citation as a process of knowledge diffusion and incorporates citation distance to reflect the structural reach of scholarly work. By weighting citations according to the coll…

TubuleTracker: a high-fidelity shareware software to quantify angiogenesis architecture and maturity
Danish Mahmood, Stephanie Buczkowski, Sahaj Shah, Autumn Anthony, Rohini Desetty, Carlo R Bartoli
https://arxiv.org/abs/2507.02024

TubuleTracker: a high-fidelity shareware software to quantify angiogenesis architecture and maturity
Background: In vitro endothelial cell culture is widely used to study angiogenesis. Histomicrographic images of cell networks are often analyzed manually, a process that is time-consuming and subjective. Automated tools like ImageJ (NIH) can assist, but are often slow and inaccurate. Additionally, as endothelial networks grow more complex, traditional architectural metrics may not fully reflect network maturity. To address these limitations, we developed tubuleTracker, a software tool that quan…

This https://arxiv.org/abs/2505.18117 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Multi-Modal Spectral Parametrization Method (MMSPM) for analyzing EEG activity with distinct scaling regimes
Aperiodic neural activity has been the subject of intense research interest lately as it could reflect on the cortical excitation/inhibition ratio, which is suspected to be affected in numerous clinical conditions. This phenomenon is characterized via the aperiodic scaling exponent $β$, equal to the spectral slope following log-log transformation of power spectra. Despite recent progress, however, most current methods do not take into consideration the plausible multimodal nature in the power …

Contrastive and Transfer Learning for Effective Audio Fingerprinting through a Real-World Evaluation Protocol
Christos Nikou, Theodoros Giannakopoulos
https://arxiv.org/abs/2507.06070

Contrastive and Transfer Learning for Effective Audio Fingerprinting through a Real-World Evaluation Protocol
Recent advances in song identification leverage deep neural networks to learn compact audio fingerprints directly from raw waveforms. While these methods perform well under controlled conditions, their accuracy drops significantly in real-world scenarios where the audio is captured via mobile devices in noisy environments. In this paper, we introduce a novel evaluation protocol designed to better reflect such real-world conditions. We generate three recordings of the same audio, each with incre…

As I'm learning Dutch, I'm reminded that the idea that there are people who believe that the bible is to be taken literally. The idea that a several hundred year old translation of a collection of texts in multiple languages, that were themselves translated multiple times between languages, before the whole thing was translated to Latin, then being translated to English, could somehow perfectly reflect the original text... Yeah, it's only possible to believe that if you have no idea how languages work and have never learned another language.
Like, just from linguistic drift alone if the bible were written in King James English you're losing *so* much context. But Hebrew, Aramaic, and Greek translated to Latin, then to English, then to English again?
There are so many things that erg can't be translated, even as a beginner. Dutch and English are two of the closest languages that exist, they're both Germanic languages and they're the closest to each other (other than Friesian). You can't really be much closer, and yet, there are so many things you can't mutually represent. Hebrew and Latin, Aramaic and Latin, Latin and English, Greek and English, these aren't even the same families at all... They're extremely distant. There's absolutely no way to represent concepts from one to another without another book's worth of explanation.
And that ignores all the cultural context, which is mostly lost and a library and decade of education to get the stuff that we *do* know.
Only monolingual Americans could come up with an idea so incredibly asinine.

EAGLE: Efficient Alignment of Generalized Latent Embeddings for Multimodal Survival Prediction with Interpretable Attribution Analysis
Aakash Tripathi, Asim Waqas, Matthew B. Schabath, Yasin Yilmaz, Ghulam Rasool
https://arxiv.org/abs/2506.22446

EAGLE: Efficient Alignment of Generalized Latent Embeddings for Multimodal Survival Prediction with Interpretable Attribution Analysis
Accurate cancer survival prediction requires integration of diverse data modalities that reflect the complex interplay between imaging, clinical parameters, and textual reports. However, existing multimodal approaches suffer from simplistic fusion strategies, massive computational requirements, and lack of interpretability-critical barriers to clinical adoption. We present EAGLE (Efficient Alignment of Generalized Latent Embeddings), a novel deep learning framework that addresses these limitati…

Symmetry Classification for Alternating Excitons in Two-Dimensional Altermagnets
Jiayu David Cao, Konstantin S. Denisov, Yuntian Liu, Igor Zutic
https://arxiv.org/abs/2506.05753

Symmetry Classification for Alternating Excitons in Two-Dimensional Altermagnets
Excitons, bound electron-holes states, often dominate the optical response of two-dimensional (2D) materials and reflect their inherent properties, including spin-orbit coupling, magnetic ordering, or band topology. By focusing on a growing class of collinear antiferromagnets with a nonrelativistic spin splitting, referred to also as altermagnets (AM), we propose a theoretical framework based on the spin space group (SSG) to elucidate their resulting excitons. Our approach is illustrated on 2D …

From Literature to ReWA: Discussing Reproductive Well-being in HCI
Hafsah Mahzabin Chowdhury, Sharifa Sultana
https://arxiv.org/abs/2507.01121 https://

From Literature to ReWA: Discussing Reproductive Well-being in HCI
Reproductive well-being is shaped by intersecting cultural, religious, gendered, and political contexts, yet current technologies often reflect narrow, Western-centric assumptions. In this literature review, we synthesize findings from 147 peer-reviewed papers published between 2015 and 2025 across HCI, CSCW and social computing, ICTD, digital and public health, and AI for well-being scholarship to map the evolving reproductive well-being landscape. We identify three thematic waves that focused…

This https://arxiv.org/abs/2409.10289 has been replaced.
link: https://scholar.google.com/scholar?q=a

ReflectDiffu:Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework
Empathetic response generation necessitates the integration of emotional and intentional dynamics to foster meaningful interactions. Existing research either neglects the intricate interplay between emotion and intent, leading to suboptimal controllability of empathy, or resorts to large language models (LLMs), which incur significant computational overhead. In this paper, we introduce ReflectDiffu, a lightweight and comprehensive framework for empathetic response generation. This framework inc…

NextQuill: Causal Preference Modeling for Enhancing LLM Personalization
Xiaoyan Zhao, Juntao You, Yang Zhang, Wenjie Wang, Hong Cheng, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
https://arxiv.org/abs/2506.02368

NextQuill: Causal Preference Modeling for Enhancing LLM Personalization
Personalizing large language models (LLMs) for individual users has become increasingly important as they are progressively integrated into real-world applications to support users' daily lives. However, existing personalization approaches often fail to distinguish which components of model predictions and training data truly reflect user preferences, leading to superficial personalization alignment. In this paper, we introduce NextQuill, a novel LLM personalization alignment framework grounded…

Human-Centric Evaluation for Foundation Models
Yijin Guo, Kaiyuan Ji, Xiaorong Zhu, Junying Wang, Farong Wen, Chunyi Li, Zicheng Zhang, Guangtao Zhai
https://arxiv.org/abs/2506.01793

Human-Centric Evaluation for Foundation Models
Currently, nearly all evaluations of foundation models focus on objective metrics, emphasizing quiz performance to define model capabilities. While this model-centric approach enables rapid performance assessment, it fails to reflect authentic human experiences. To address this gap, we propose a Human-Centric subjective Evaluation (HCE) framework, focusing on three core dimensions: problem-solving ability, information quality, and interaction experience. Through experiments involving Deepseek R…

Rodrigues Network for Learning Robot Actions
Jialiang Zhang, Haoran Geng, Yang You, Congyue Deng, Pieter Abbeel, Jitendra Malik, Leonidas Guibas
https://arxiv.org/abs/2506.02618

Rodrigues Network for Learning Robot Actions
Understanding and predicting articulated actions is important in robot learning. However, common architectures such as MLPs and Transformers lack inductive biases that reflect the underlying kinematic structure of articulated systems. To this end, we propose the Neural Rodrigues Operator, a learnable generalization of the classical forward kinematics operation, designed to inject kinematics-aware inductive bias into neural computation. Building on this operator, we design the Rodrigues Network …

Lower Bounds on the Size of Markov Equivalence Classes
Erik Jahn, Frederick Eberhardt, Leonard J. Schulman
https://arxiv.org/abs/2506.20933 https://…

Lower Bounds on the Size of Markov Equivalence Classes
Causal discovery algorithms typically recover causal graphs only up to their Markov equivalence classes unless additional parametric assumptions are made. The sizes of these equivalence classes reflect the limits of what can be learned about the underlying causal graph from purely observational data. Under the assumptions of acyclicity, causal sufficiency, and a uniform model prior, Markov equivalence classes are known to be small on average. In this paper, we show that this is no longer the ca…

This https://arxiv.org/abs/2409.15683 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Quantum DeepONet: Neural operators accelerated by quantum computing
In the realm of computational science and engineering, constructing models that reflect real-world phenomena requires solving partial differential equations (PDEs) with different conditions. Recent advancements in neural operators, such as deep operator network (DeepONet), which learn mappings between infinite-dimensional function spaces, promise efficient computation of PDE solutions for a new condition in a single forward pass. However, classical DeepONet entails quadratic complexity concerni…

This https://arxiv.org/abs/2505.07453 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

How well do LLMs reason over tabular data, really?
Large Language Models (LLMs) excel in natural language tasks, but less is known about their reasoning capabilities over tabular data. Prior analyses devise evaluation strategies that poorly reflect an LLM's realistic performance on tabular queries. Moreover, we have a limited understanding of the robustness of LLMs towards realistic variations in tabular inputs. Therefore, we ask: Can general-purpose LLMs reason over tabular data, really?, and focus on two questions 1) are tabular reasoning cap…

Towards Difficulty-Aware Analysis of Deep Neural Networks
Linhao Meng, Stef van den Elzen, Anna Vilanova
https://arxiv.org/abs/2507.00881 https://

Towards Difficulty-Aware Analysis of Deep Neural Networks
Traditional instance-based model analysis focuses mainly on misclassified instances. However, this approach overlooks the varying difficulty associated with different instances. Ideally, a robust model should recognize and reflect the challenges presented by intrinsically difficult instances. It is also valuable to investigate whether the difficulty perceived by the model aligns with that perceived by humans. To address this, we propose incorporating instance difficulty into the deep neural net…

Feeling Guilty Being a c(ai)borg: Navigating the Tensions Between Guilt and Empowerment in AI Use
Konstantin Aal, Tanja Aal, Vasil Navumau, David Unbehaun, Claudia M\"uller, Volker Wulf, Sarah R\"uller
https://arxiv.org/abs/2506.00094

Feeling Guilty Being a c(ai)borg: Navigating the Tensions Between Guilt and Empowerment in AI Use
This paper explores the emotional, ethical and practical dimensions of integrating Artificial Intelligence (AI) into personal and professional workflows, focusing on the concept of feeling guilty as a 'c(ai)borg' - a human augmented by AI. Inspired by Donna Haraway's Cyborg Manifesto, the study explores how AI challenges traditional notions of creativity, originality and intellectual labour. Using an autoethnographic approach, the authors reflect on their year-long experiences with AI tools, re…

NIRANTAR: Continual Learning with New Languages and Domains on Real-world Speech Data
Tahir Javed, Kaushal Bhogale, Mitesh M. Khapra
https://arxiv.org/abs/2507.00534

NIRANTAR: Continual Learning with New Languages and Domains on Real-world Speech Data
We introduce Nirantar, a comprehensive framework for evaluating continual learning (CL) in multilingual and multi-domain ASR. Designed to reflect real-world CL challenges, Nirantar leverages data collected incrementally across 22 languages and 208 districts in India through natural episodes. This enables evaluation across Language-Incremental (LIL), Domain-Incremental (DIL), and the novel Language-Incremental Domain-Incremental Learning (LIDIL) scenarios. Unlike prior work that relies on simula…

This https://arxiv.org/abs/2501.02772 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

GeAR: Generation Augmented Retrieval
Document retrieval techniques are essential for developing large-scale information systems. The common approach involves using a bi-encoder to compute the semantic similarity between a query and documents. However, the scalar similarity often fail to reflect enough information, hindering the interpretation of retrieval results. In addition, this process primarily focuses on global semantics, overlooking the finer-grained semantic relationships between the query and the document's content. In th…

Evaluating Robot Policies in a World Model
Julian Quevedo, Percy Liang, Sherry Yang
https://arxiv.org/abs/2506.00613 https://arxiv.or…

Evaluating Robot Policies in a World Model
Robotics has broad applications from automating house chores to taking care of patients. However, evaluating robot control policies is challenging, as real-world testing is expensive, while handcrafted simulations often fail to accurately reflect real-world conditions, resulting in poor correlation between simulated evaluation and real-world outcomes. In this work, we investigate World-model-based Policy Evaluation (WPE). We first train an action-conditioned video generation model as a proxy to…

Learning Sparsity for Effective and Efficient Music Performance Question Answering
Xingjian Diao, Tianzhen Yang, Chunhui Zhang, Weiyi Wu, Ming Cheng, Jiang Gui
https://arxiv.org/abs/2506.01319

Learning Sparsity for Effective and Efficient Music Performance Question Answering
Music performances, characterized by dense and continuous audio as well as seamless audio-visual integration, present unique challenges for multimodal scene understanding and reasoning. Recent Music Performance Audio-Visual Question Answering (Music AVQA) datasets have been proposed to reflect these challenges, highlighting the continued need for more effective integration of audio-visual representations in complex question answering. However, existing Music AVQA methods often rely on dense and…

Enhancing Critical Thinking in Generative AI Search with Metacognitive Prompts
Anjali Singh, Zhitong Guan, Soo Young Rieh
https://arxiv.org/abs/2505.24014 …

Enhancing Critical Thinking in Generative AI Search with Metacognitive Prompts
The growing use of Generative AI (GenAI) conversational search tools has raised concerns about their effects on people's metacognitive engagement, critical thinking, and learning. As people increasingly rely on GenAI to perform tasks such as analyzing and applying information, they may become less actively engaged in thinking and learning. This study examines whether metacognitive prompts - designed to encourage people to pause, reflect, assess their understanding, and consider multiple perspec…

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…

Theories of "Sexuality" in Natural Language Processing Bias Research
Jacob Hobbs
https://arxiv.org/abs/2506.22481 https://a…

Theories of "Sexuality" in Natural Language Processing Bias Research
In recent years, significant advancements in the field of Natural Language Processing (NLP) have positioned commercialized language models as wide-reaching, highly useful tools. In tandem, there has been an explosion of multidisciplinary research examining how NLP tasks reflect, perpetuate, and amplify social biases such as gender and racial bias. A significant gap in this scholarship is a detailed analysis of how queer sexualities are encoded and (mis)represented by both NLP systems and practi…

FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens
Yiming Zhong, Yumeng Liu, Chuyang Xiao, Zemin Yang, Youzhuo Wang, Yufei Zhu, Ye Shi, Yujing Sun, Xinge Zhu, Yuexin Ma
https://arxiv.org/abs/2506.01583

FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens
Learning effective visuomotor policies for robotic manipulation is challenging, as it requires generating precise actions while maintaining computational efficiency. Existing methods remain unsatisfactory due to inherent limitations in the essential action representation and the basic network architectures. We observe that representing actions in the frequency domain captures the structured nature of motion more effectively: low-frequency components reflect global movement patterns, while high-…

Beyond the Prototype: Challenges of Long-Term Integration of Visual Analytics in Civic Spaces
Mahmood Jasim, Narges Mahyar
https://arxiv.org/abs/2505.24102

Beyond the Prototype: Challenges of Long-Term Integration of Visual Analytics in Civic Spaces
Despite the recognized benefits of visual analytics systems in supporting data-driven decision-making, their deployment in real-world civic contexts often faces significant barriers. Beyond technical challenges such as resource constraints and development complexity, sociotechnical factors, including organizational hierarchies, misalignment between designers and stakeholders, and concerns around technology adoption hinder their sustained use. In this work, we reflect on our collective experienc…

Sequential Diagnosis with Language Models
Harsha Nori, Mayank Daswani, Christopher Kelly, Scott Lundberg, Marco Tulio Ribeiro, Marc Wilson, Xiaoxuan Liu, Viknesh Sounderajah, Jonathan Carlson, Matthew P Lungren, Bay Gross, Peter Hames, Mustafa Suleyman, Dominic King, Eric Horvitz
https://arxiv.org/abs/2506.22405

Sequential Diagnosis with Language Models
Artificial intelligence holds great promise for expanding access to expert medical knowledge and reasoning. However, most evaluations of language models rely on static vignettes and multiple-choice questions that fail to reflect the complexity and nuance of evidence-based medicine in real-world settings. In clinical practice, physicians iteratively formulate and revise diagnostic hypotheses, adapting each subsequent question and test to what they've just learned, and weigh the evolving evidence…

Human Empathy as Encoder: AI-Assisted Depression Assessment in Special Education
Boning Zhao
https://arxiv.org/abs/2505.23631 https://

Human Empathy as Encoder: AI-Assisted Depression Assessment in Special Education
Assessing student depression in sensitive environments like special education is challenging. Standardized questionnaires may not fully reflect students' true situations. Furthermore, automated methods often falter with rich student narratives, lacking the crucial, individualized insights stemming from teachers' empathetic connections with students. Existing methods often fail to address this ambiguity or effectively integrate educator understanding. To address these limitations by fostering a …

Mirror Eyes: Explainable Human-Robot Interaction at a Glance
Matti Kr\"uger, Daniel Tanneberg, Chao Wang, Stephan Hasler, Michael Gienger
https://arxiv.org/abs/2506.18466

Mirror Eyes: Explainable Human-Robot Interaction at a Glance
The gaze of a person tends to reflect their interest. This work explores what happens when this statement is taken literally and applied to robots. Here we present a robot system that employs a moving robot head with a screen-based eye model that can direct the robot's gaze to points in physical space and present a reflection-like mirror image of the attended region on top of each eye. We conducted a user study with 33 participants, who were asked to instruct the robot to perform pick-and-place…

Doc2Agent: Scalable Generation of Tool-Using Agents from API Documentation
Xinyi Ni, Haonan Jian, Qiuyang Wang, Vedanshi Chetan Shah, Pengyu Hong
https://arxiv.org/abs/2506.19998 …

Doc2Agent: Scalable Generation of Tool-Using Agents from API Documentation
REST APIs play important roles in enriching the action space of web agents, yet most API-based agents rely on curated and uniform toolsets that do not reflect the complexity of real-world APIs. Building tool-using agents for arbitrary domains remains a major challenge, as it requires reading unstructured API documentation, testing APIs and inferring correct parameters. We propose Doc2Agent, a scalable pipeline to build agents that can call Python-based tools generated from API documentation. Do…

Perspectives in Play: A Multi-Perspective Approach for More Inclusive NLP Systems
Benedetta Muscato, Lucia Passaro, Gizem Gezici, Fosca Giannotti
https://arxiv.org/abs/2506.20209 …

Perspectives in Play: A Multi-Perspective Approach for More Inclusive NLP Systems
In the realm of Natural Language Processing (NLP), common approaches for handling human disagreement consist of aggregating annotators' viewpoints to establish a single ground truth. However, prior studies show that disregarding individual opinions can lead can lead to the side effect of underrepresenting minority perspectives, especially in subjective tasks, where annotators may systematically disagree because of their preferences. Recognizing that labels reflect the diverse backgrounds, life …