Tootfinder

Digital welfare fraud detection and the Dutch SyRI judgment
Marvin van Bekkum, Frederik Zuiderveen Borgesius
https://arxiv.org/abs/2509.23843 https://arxiv…

Digital welfare fraud detection and the Dutch SyRI judgment
In 2020, a Dutch court passed judgment in a case about a digital welfare fraud detection system called Systeem Risico Indicatie (SyRI). The court ruled that the SyRI legislation is unlawful because it does not comply with the right to privacy under the European Convention of Human Rights. In this article we analyse the judgment and its implications. This ruling is one of first in which a court has invalidated a welfare fraud detection system for breaching the right to privacy. We show that the …

Who's Your Judge? On the Detectability of LLM-Generated Judgments
Dawei Li, Zhen Tan, Chengshuai Zhao, Bohan Jiang, Baixiang Huang, Pingchuan Ma, Abdullah Alnaibari, Kai Shu, Huan Liu
https://arxiv.org/abs/2509.25154

Who's Your Judge? On the Detectability of LLM-Generated Judgments
Large Language Model (LLM)-based judgments leverage powerful LLMs to efficiently evaluate candidate content and provide judgment scores. However, the inherent biases and vulnerabilities of LLM-generated judgments raise concerns, underscoring the urgent need for distinguishing them in sensitive scenarios like academic peer reviewing. In this work, we propose and formalize the task of judgment detection and systematically investigate the detectability of LLM-generated judgments. Unlike LLM-genera…

Donald Trump’s justice department has asked a judge to shut down a Vermont law which holds major polluters financially responsible for climate damages.
In a brief filed on Monday in a federal court in Burlington, the administration said the policy was “unlawful on its face” and pushed the court to “end Vermont’s lawless experiment.”
“The Court should deny the motions to dismiss, grant the United States’ motion for summary judgment, declare the Superfund Act unconstitutional and u…

Trump DOJ seeks to kill Vermont law that makes Big Oil pay for climate harm
The Justice Department asked a judge to shut down the ‘Superfund’ law that requires major polluters to pay for carbon emissions.

18 Lawyers Caught Using AI Explain Why They Did It https://www.404media.co/18-lawyers-caught-using-ai-explain-why-they-did-it/

Nixon tried using IEEPA's predecessor law to impose 10% across the board tariffs, too. He did not prevail.
UNITED STATES v. YOSHIDA INTERN., INC | 526 F.2d 560 | C.C.P.A. | Judgment | Law | CaseMine
https://www.casemine.com/judgement/us/5914c642add7b049347d9f1f

Replaced article(s) found for cs.DL. https://arxiv.org/list/cs.DL/new
[1/1]:
- Automatically Advancing LLM Expertise in Technology Judgment
Siyang Wu, Honglin Bao, Nadav Kunievsky, James A. Evans

DC cracks down on reckless drivers with first court judgment for $77K under STEER Act
https://www.dcnewsnow.com/news/local-news/washington-dc/dc-cracks-down-on-reckless-drivers-with-first-court-judg…

Unsupervised Representation Learning for 3D Mesh Parameterization with Semantic and Visibility Objectives
AmirHossein Zamani, Bruno Roy, Arianna Rampini
https://arxiv.org/abs/2509.25094

Unsupervised Representation Learning for 3D Mesh Parameterization with Semantic and Visibility Objectives
Recent 3D generative models produce high-quality textures for 3D mesh objects. However, they commonly rely on the heavy assumption that input 3D meshes are accompanied by manual mesh parameterization (UV mapping), a manual task that requires both technical precision and artistic judgment. Industry surveys show that this process often accounts for a significant share of asset creation, creating a major bottleneck for 3D content creators. Moreover, existing automatic methods often ignore two perc…

When Judgment Becomes Noise: How Design Failures in LLM Judge Benchmarks Silently Undermine Validity
Benjamin Feuer, Chiung-Yi Tseng, Astitwa Sarthak Lathe, Oussama Elachqar, John P Dickerson
https://arxiv.org/abs/2509.20293

When Judgment Becomes Noise: How Design Failures in LLM Judge Benchmarks Silently Undermine Validity
LLM-judged benchmarks are increasingly used to evaluate complex model behaviors, yet their design introduces failure modes absent in conventional ground-truth based benchmarks. We argue that without tight objectives and verifiable constructions, benchmark rankings can produce high-confidence rankings that are in fact largely noise. We introduce two mechanisms to diagnose these issues. Schematic adherence quantifies how much of a judge's overall verdict is explained by the explicit evaluation sc…

GLARE: Agentic Reasoning for Legal Judgment Prediction
Xinyu Yang, Chenlong Deng, Zhicheng Dou
https://arxiv.org/abs/2508.16383 https://arxiv.org/pdf/2508.…

GLARE: Agentic Reasoning for Legal Judgment Prediction
Legal judgment prediction (LJP) has become increasingly important in the legal field. In this paper, we identify that existing large language models (LLMs) have significant problems of insufficient reasoning due to a lack of legal knowledge. Therefore, we introduce GLARE, an agentic legal reasoning framework that dynamically acquires key legal knowledge by invoking different modules, thereby improving the breadth and depth of reasoning. Experiments conducted on the real-world dataset verify the…

"My read of economic and financial history is that market pricing almost never takes into account the possibility of huge, disruptive events, even when the strong possibility of such events should be obvious. The usual pattern, instead, is one of market complacency until the last possible moment."
https://info…

Epic says it is bringing Fortnite back to iOS in Australia "at a date to be determined", after a judge ruled Apple and Google's app stores are anticompetitive (The Verge)
https://www.theverge.com/news/757885/epic-apple-google-australia-judgment

Epic says Fortnite is coming back to iOS in Australia
Epic Games is bringing Fortnite back to iOS in Australia, after the country’s federal court ruled that Apple and Google’s app marketplaces are anticompetitive.

SCOTUS declines to hear a challenge by Alex Jones to the $1.4B libel judgment awarded to Sandy Hook families; Jones argues the judgment violates his 1A rights (Dietrich Knauth/Reuters)
https://www.reuters.com/world/us-supreme-c

Quantitative Outcome-Oriented Assessment of Microsurgical Anastomosis
Luyin Hu, Soheil Gholami, George Dindelegan, Torstein R. Meling, Aude Billard
https://arxiv.org/abs/2508.18836

Quantitative Outcome-Oriented Assessment of Microsurgical Anastomosis
Microsurgical anastomosis demands exceptional dexterity and visuospatial skills, underscoring the importance of comprehensive training and precise outcome assessment. Currently, methods such as the outcome-oriented anastomosis lapse index are used to evaluate this procedure. However, they often rely on subjective judgment, which can introduce biases that affect the reliability and efficiency of the assessment of competence. Leveraging three datasets from hospitals with participants at various l…

Big-Stop Semantics: A Simple Way to Get the Benefits of Small-Step Semantics in a Big-Step Judgment
David M Kahn, Jan Hoffmann, Runming Li
https://arxiv.org/abs/2508.15157 https…

Big-Stop Semantics: A Simple Way to Get the Benefits of Small-Step Semantics in a Big-Step Judgment
As evident in the programming language literature, many practitioners favor specifying dynamic program behavior using big-step over small-step semantics. Unlike small-step semantics, which must dwell on every intermediate program state, big-step semantics conveniently jump directly to the ever-important result of the computation. Big-step semantics also typically involve fewer inference rules than their small-step counterparts. However, in exchange for ergonomics, big-step semantics give up pow…

Beyond Human Judgment: A Bayesian Evaluation of LLMs' Moral Values Understanding
Maciej Skorski, Alina Landowska
https://arxiv.org/abs/2508.13804 https://

Beyond Human Judgment: A Bayesian Evaluation of LLMs' Moral Values Understanding
How do large language models understand moral dimensions compared to humans? This first large-scale Bayesian evaluation of market-leading language models provides the answer. In contrast to prior work using deterministic ground truth (majority or inclusion rules), we model annotator disagreements to capture both aleatoric uncertainty (inherent human disagreement) and epistemic uncertainty (model domain sensitivity). We evaluate top language models (Claude Sonnet 4, DeepSeek-V3, Llama 4 Maveri…

Supreme Court rejects Jones' appeal of $1.4B Sandy Hook judgment | AP News
https://apnews.com/article/supreme-court-newtown-shooting-alex-jones-infowars-ddcdede90c0c8d2710c768fd0ea9946f

Alex Jones asks Supreme Court to block massive defamation judgment (Lawrence Hurley/NBC News)
https://www.nbcnews.com/politics/supreme-court/alex-jones-asks-supreme-court-block-massive-defamation-judgment-rcna236675
http://www.memeorandum.com/251009/p72#a251009p72

GLARE: Agentic Reasoning for Legal Judgment Prediction
Xinyu Yang, Chenlong Deng, Zhicheng Dou
https://arxiv.org/abs/2508.16383 https://arxiv.org/pdf/2508.…

GLARE: Agentic Reasoning for Legal Judgment Prediction
Legal judgment prediction (LJP) has become increasingly important in the legal field. In this paper, we identify that existing large language models (LLMs) have significant problems of insufficient reasoning due to a lack of legal knowledge. Therefore, we introduce GLARE, an agentic legal reasoning framework that dynamically acquires key legal knowledge by invoking different modules, thereby improving the breadth and depth of reasoning. Experiments conducted on the real-world dataset verify the…

dutch_criticism: Dutch literacy criticism (1976)
A network of criticisms among Dutch literary authors in 1976. The directed edge (i,j) denotes that an author i passed judgment on author j's work in an interview or review.
This network has 35 nodes and 81 edges.
Tags: Social, Offline, Unweighted
https://

Influence of the majority group on individual judgments in online spontaneous conversations
Diletta Goglia, Davide Vega, Alessio Gandelli
https://arxiv.org/abs/2509.21092 https:…

Influence of the majority group on individual judgments in online spontaneous conversations
This study investigates how the majority group influences individual judgment formation and expression in anonymous, spontaneous online conversations. Drawing on theories of social conformity and anti-conformity, we analyze everyday dilemmas discussed on social media. First, using digital traces to operationalize judgments, we measure the conversations' disagreement and apply Bayesian regression to capture shifts of judgments formation before and after the group's exposure. Then we analyze chan…

Hadn’t heard about this previously, but the people who are organizing the version local to me are definitely good folk whose judgment I trust: https://drawtheline.world
(Not just Canada - the web site pulls in your local version.)

Paragraphs 42 to 49 in this judgment disclosing the use of AI.
https://caselaw.nationalarchives.gov.uk/ukftt/tc/2025/1112#para_42

“Self-examination is great but no need to fall into the assesspool of self-judgment.”

-- Swami Beyondananda
Swami’s Daily Laughsitive (stolen from his email list)
#Humor

Evaluating the Evaluators: Metrics for Compositional Text-to-Image Generation
Seyed Amir Kasaei, Ali Aghayari, Arash Marioriyad, Niki Sepasian, MohammadAmin Fazli, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban
https://arxiv.org/abs/2509.21227

Evaluating the Evaluators: Metrics for Compositional Text-to-Image Generation
Text-image generation has advanced rapidly, but assessing whether outputs truly capture the objects, attributes, and relations described in prompts remains a central challenge. Evaluation in this space relies heavily on automated metrics, yet these are often adopted by convention or popularity rather than validated against human judgment. Because evaluation and reported progress in the field depend directly on these metrics, it is critical to understand how well they reflect human preferences. …

Clotho: Measuring Task-Specific Pre-Generation Test Adequacy for LLM Inputs
Juyeon Yoon, Somin Kim, Robert Feldt, Shin Yoo
https://arxiv.org/abs/2509.17314 https://

Clotho: Measuring Task-Specific Pre-Generation Test Adequacy for LLM Inputs
Software increasingly relies on the emergent capabilities of Large Language Models (LLMs), from natural language understanding to program analysis and generation. Yet testing them on specific tasks remains difficult and costly: many prompts lack ground truth, forcing reliance on human judgment, while existing uncertainty and adequacy measures typically require full inference. A key challenge is to assess input adequacy in a way that reflects the demands of the task, ideally before even generati…

Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling
Shuliang Liu, Zhipeng Xu, Zhenghao Liu, Yukun Yan, Minghe Yu, Yu Gu, Chong Chen, Huiyuan Xie, Ge Yu
https://arxiv.org/abs/2510.08145

Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling
Large Language Models (LLMs) as automatic evaluators, commonly referred to as LLM-as-a-Judge, have also attracted growing attention. This approach plays a vital role in aligning LLMs with human judgments, providing accurate and reliable assessments. However, LLM-based judgment models often exhibit judgment preference bias during the evaluation phase, tending to favor responses generated by themselves, undermining the reliability of their judgments. This paper introduces the Group-Based Polling …

👍 👏 Court denies Trump's bid to delay appeal of $83M judgment in E. Jean Carroll case - ABC News
https://abcnews.go.com/US/trump-seeks-delay-appeal-83-million-judgment-jean/story?id=123047927

One can press this too far, but I’ve found so much more joy in music by removing reference to self, goals, judgment - actually, anything beyond "something possibly musical is happening now, and somehow I happen to be part of it."

dutch_criticism: Dutch literacy criticism (1976)
A network of criticisms among Dutch literary authors in 1976. The directed edge (i,j) denotes that an author i passed judgment on author j's work in an interview or review.
This network has 35 nodes and 81 edges.
Tags: Social, Offline, Unweighted
https://

TRUE: A Reproducible Framework for LLM-Driven Relevance Judgment in Information Retrieval
Mouly Dewan, Jiqun Liu, Chirag Shah
https://arxiv.org/abs/2509.25602 https://

TRUE: A Reproducible Framework for LLM-Driven Relevance Judgment in Information Retrieval
LLM-based relevance judgment generation has become a crucial approach in advancing evaluation methodologies in Information Retrieval (IR). It has progressed significantly, often showing high correlation with human judgments as reflected in LLMJudge leaderboards \cite{rahmani2025judging}. However, existing methods for relevance judgments, rely heavily on sensitive prompting strategies, lacking standardized workflows for generating reliable labels. To fill this gap, we reintroduce our method, \te…

The local indie theater was showing Terminator 2 tonight as part of its summer blockbuster series. The boy is off to college next week, but wanted to see it with me. ❤️
Mostly still holds up well. Some of the dialogue is pretty over the top, but he enjoyed it. I would have enjoyed it no matter what, having him along for it.
https://ca…

Terminator 2: Judgment Day
It's nothing personal.

Appeals Court Upholds Carroll’s $83 Million Judgment Against Trump
The judges rejected Trump’s argument that the Supreme Court’s decision extending presidential immunity should shield him from liability for defaming the writer E. Jean Carroll.
https://www.

Appeals Court Upholds Carroll’s $83 Million Judgment Against Trump
The judges rejected President Trump’s argument that the Supreme Court’s decision extending presidential immunity should shield him from liability for defaming the writer E. Jean Carroll.

Chinese Court Simulation with LLM-Based Agent System
Kaiyuan Zhang, Jiaqi Li, Yueyue Wu, Haitao Li, Cheng Luo, Shaokun Zou, Yujia Zhou, Weihang Su, Qingyao Ai, Yiqun Liu
https://arxiv.org/abs/2508.17322

Chinese Court Simulation with LLM-Based Agent System
Mock trial has long served as an important platform for legal professional training and education. It not only helps students learn about realistic trial procedures, but also provides practical value for case analysis and judgment prediction. Traditional mock trials are difficult to access by the public because they rely on professional tutors and human participants. Fortunately, the rise of large language models (LLMs) provides new opportunities for creating more accessible and scalable court …

La confiance est révocable.
Si vous avez aimé un produit ou un logiciel, et qu'il se détériore, que ses conditions changent, qu'il ajoute des fonctions d'espionnage, vous pouvez changer d'avis et cesser de lui faire confiance et de l'utiliser.
Vous devez toujours réajuster votre jugement lorsque vous recevez de nouvelles informations.
Cela s'applique aux produits, aux plateformes, aux entreprises, aux partis politiques et aux personnes.

I keep coming back to the mirror dualities of the oppressed and oppressor under authoritarianism.
The oppressed is portrayed as both weak and godlike. The stereotypes are always some variation on sloth and incompetence, but yet somehow also a menace capable of destroying the "pure" society. To use the most relevant current example, Antifa being both little femme soy boys who would always get beat up by "real men" while also being an international terrorist organization on the brink of overthrowing the US government, the unarmed presence of whom makes the heavily armed agents of ICE flee for their lives. Antifa is both having absolutely no impact on ICE, and also having such an impact on ICE that the military needs to come in to protect them. The contradiction is obvious but never seems to occur to those who hold both to be true at the same time.
But few talk about the duality of the oppressor. The sovereign throughout history has always been both a ruler above the law, sometimes even the representative or incarnation of a divine force. Yet, this same superhuman/god-man is also a baby who needs constant care. This is absolutely a through line from the very earliest records of sovereign cults to modern cult leaders, CEOs, and Trump today. Power, for these people, is expressed both as the ability to force others to enact their will and in the ability to compel others to care for them. Can any of these "men" cook? Can they fix anything themselves? They are driven everywhere, cooked for all the time, constantly protected from danger. Kings are still dressed, at least for rituals. I could dissect masculinity here, but that's a whole thing.
It is as though the drive to care for our children, who must be taught to behave within acceptable norms, is hijacked by "leaders" who demand our care and attention... even at the expense of our literal children. And recently we've seen some of those very CEOs, with LLMs and return to office demands, show that their judgment is also little better than children, making decisions while pretending to understand a subject.
The oppressed are portrayed as both god-like and impotent and are, in fact, neither. Meanwhile the rulers portray themselves only as invulnerable and are, in fact, childish in their ability to survive without constant support. Their greatest fear from the collapse of society is figuring out how to make sure people keep taking care of them.
It just keeps rattling around in my head.
#USPol

But when it comes to ways for meeting the challenge, it always gets very vague. “Educators have a critical role to play” essentially means: “whatever, figure something out.”
Just create “curricula that blend machine efficiency with human judgment.” Right. And we need to encourage “reflection on the learning process itself.” Pray tell me why students should do so. What's the incentive if they’re already using

But when it comes to ways for meeting the challenge, it always gets very vague. “Educators have a critical role to play” essentially means: “whatever, figure something out.”
Just create “curricula that blend machine efficiency with human judgment.” Right. And we need to encourage “reflection on the learning process itself.” Pray tell me why students should do so. What's the incentive if they’re already using

We decided it was night again, so we camped for twenty minutes and drank
another six beers at a Young Life campsite. O.C. got into the supervisory
adult's sleeping bag and ran around in it. "This is the judgment day and I'm
a terrifying apparition," he screamed. Then the heat made O.C. ralph in the
bag.
-- The Utterly Monstrous, Mind-Roasting Summer of O.C. and Stiggs,
National Lampoon, October 1982

Do Before You Judge: Self-Reference as a Pathway to Better LLM Evaluation
Wei-Hsiang Lin, Sheng-Lun Wei, Hen-Hsen Huang, Hsin-Hsi Chen
https://arxiv.org/abs/2509.19880 https://

Do Before You Judge: Self-Reference as a Pathway to Better LLM Evaluation
LLM-as-Judge frameworks are increasingly popular for AI evaluation, yet research findings on the relationship between models' generation and judgment abilities remain inconsistent. We investigate this relationship through systematic dataset- and instance-level analyses across 11 models and 21 diverse tasks. Despite both capabilities relying on the same underlying knowledge, our analyses reveal they are only weakly correlated, primarily due to LLMs' sensitivity to the responses being judged. To …

The Alignment Bottleneck
Wenjun Cao
https://arxiv.org/abs/2509.15932 https://arxiv.org/pdf/2509.15932

The Alignment Bottleneck
Large language models improve with scale, yet feedback-based alignment still exhibits systematic deviations from intended behavior. Motivated by bounded rationality in economics and cognitive science, we view judgment as resource-limited and feedback as a constrained channel. On this basis, we model the loop as a two-stage cascade $U \to H \to Y$ given $S$, with cognitive capacity $C_{\text{cog}|S}$ and average total capacity $\bar{C}_{\text{tot}|S}$. Our main result is a capacity-cou…

"Computer Power and Human Reason: From Judgment to Calculation is a 1976 nonfiction book by German-American computer scientist Joseph Weizenbaum in which he contends that while artificial intelligence may be possible, we should never allow computers to make important decisions, as they will always lack human qualities such as compassion and wisdom."

Computer Power and Human Reason - Wikipedia

> Due to claims that the Tribulation begins shortly after the Feast of the Trumpets, devoted Christians are urging each other to sell all their personal belongings.
I love this bit. Per Mark 10 you believe you need to sell your possessions to enter the kingdom of god, but ideally you don't have do it until the absolute last minute.

Priests reveal 'exact date' Jesus will return to Earth amid signs of rapture
According to a Biblical prophecy, Judgment Day could be just days away as respected pastors and rabbis are calling for people to be ready.

Who is a Better Matchmaker? Human vs. Algorithmic Judge Assignment in a High-Stakes Startup Competition
Sarina Xi, Orelia Pi, Miaomiao Zhang, Becca Xiong, Jacqueline Ng Lane, Nihar B. Shah
https://arxiv.org/abs/2510.12692

Who is a Better Matchmaker? Human vs. Algorithmic Judge Assignment in a High-Stakes Startup Competition
There is growing interest in applying artificial intelligence (AI) to automate and support complex decision-making tasks. However, it remains unclear how algorithms compare to human judgment in contexts requiring semantic understanding and domain expertise. We examine this in the context of the judge assignment problem, matching submissions to suitably qualified judges. Specifically, we tackled this problem at the Harvard President's Innovation Challenge, the university's premier venture compet…

Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews
Sai Suresh Marchala Vasu, Ivaxi Sheth, Hui-Po Wang, Ruta Binkyte, Mario Fritz
https://arxiv.org/abs/2509.13400

Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews
The adoption of large language models (LLMs) is transforming the peer review process, from assisting reviewers in writing more detailed evaluations to generating entire reviews automatically. While these capabilities offer exciting opportunities, they also raise critical concerns about fairness and reliability. In this paper, we investigate bias in LLM-generated peer reviews by conducting controlled experiments on sensitive metadata, including author affiliation and gender. Our analysis consist…

"AI-powered oil spill prediction system can improve emergency response accuracy by up to 25%"
#AI #ArtificialIntelligence #Technology

AI-powered oil spill prediction system can improve emergency response accuracy by up to 25%
Oil spills can be among the most devastating environmental disasters, with the potential to severely damage marine ecosystems, disrupt coastal communities, and impose lasting economic damage. Traditional numerical models, such as MEDSLIK-II, simulate the movement and transformation of oil particles in seawater, but their accuracy has been limited by dependence on expert judgment for tuning critical physical parameters. This manual calibration process, while informed by experience, is not always…

dutch_criticism: Dutch literacy criticism (1976)
A network of criticisms among Dutch literary authors in 1976. The directed edge (i,j) denotes that an author i passed judgment on author j's work in an interview or review.
This network has 35 nodes and 81 edges.
Tags: Social, Offline, Unweighted
https://

Supreme Court rejects Alex Jones' appeal of $1.4 billion defamation judgment in Sandy Hook shooting (Mark Sherman/Associated Press)
https://apnews.com/article/supreme-court-newtown-shooting-alex-jones-infowars-ddcdede90c0c8d2710c768fd0ea9946f
http://www.memeorandum.com/251014/p149#a251014p149

Feeding therapy question
(Boosts appreciated for reach)
Has anyone had direct experience with "Sequential Oral Sensory" feeding therapy? Was it a good/bad experience?
We're exploring this as an option for my kid, and from what I've heard online I want to stay far away from ABA therapy, but I know nothing about this. The materials presented by the therapist's office make it sound reasonable, and of course I'll use my best judgment as things go along if we start it, but I thought I'd ask here first in case anyone has wisdom to share.
#FeedingTherapy #SequentialOralSensory

LLMs in Cybersecurity: Friend or Foe in the Human Decision Loop?
Irdin Pekaric, Philipp Zech, Tom Mattson
https://arxiv.org/abs/2509.06595 https://arxiv.or…

LLMs in Cybersecurity: Friend or Foe in the Human Decision Loop?
Large Language Models (LLMs) are transforming human decision-making by acting as cognitive collaborators. Yet, this promise comes with a paradox: while LLMs can improve accuracy, they may also erode independent reasoning, promote over-reliance and homogenize decisions. In this paper, we investigate how LLMs shape human judgment in security-critical contexts. Through two exploratory focus groups (unaided and LLM-supported), we assess decision accuracy, behavioral resilience and reliance dynamics…

MIND: A Noise-Adaptive Denoising Framework for Medical Images Integrating Multi-Scale Transformer
Tao Tang, Chengxu Yang
https://arxiv.org/abs/2508.07817 https://

MIND: A Noise-Adaptive Denoising Framework for Medical Images Integrating Multi-Scale Transformer
The core role of medical images in disease diagnosis makes their quality directly affect the accuracy of clinical judgment. However, due to factors such as low-dose scanning, equipment limitations and imaging artifacts, medical images are often accompanied by non-uniform noise interference, which seriously affects structure recognition and lesion detection. This paper proposes a medical image adaptive denoising model (MI-ND) that integrates multi-scale convolutional and Transformer architecture…

Financial Risk Relation Identification through Dual-view Adaptation
Wei-Ning Chiu, Yu-Hsiang Wang, Andy Hsiao, Yu-Shiang Huang, Chuan-Ju Wang
https://arxiv.org/abs/2509.18775 ht…

Beyond Traditional Surveillance: Harnessing Expert Knowledge for Public Health Forecasting
Garrik Hoyt, Eleanor Bergren, Gabrielle String, Thomas McAndrew
https://arxiv.org/abs/2508.15623

Beyond Traditional Surveillance: Harnessing Expert Knowledge for Public Health Forecasting
Downsizing the US public health workforce throughout 2025 amplifies potential risks during public health crises. Expert judgment from public health officials represents a vital information source, distinct from traditional surveillance infrastructure, that should be valued -- not discarded. Understanding how expert knowledge functions under constraints is essential for understanding the potential impact of reduced capacity. To explore expert forecasting capabilities, 114 public health officials…

Replaced article(s) found for cs.IR. https://arxiv.org/list/cs.IR/new
[1/1]:
- Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy
Hengran Zhang, Keping Bi, Jiafeng Guo, Xueqi Cheng

DF-LLaVA: Unlocking MLLM's potential for Synthetic Image Detection via Prompt-Guided Knowledge Injection
Zhuokang Shen, Kaisen Zhang, Bohan Jia, Yuan Fang, Zhou Yu, Shaohui Lin
https://arxiv.org/abs/2509.14957

DF-LLaVA: Unlocking MLLM's potential for Synthetic Image Detection via Prompt-Guided Knowledge Injection
With the increasing prevalence of synthetic images, evaluating image authenticity and locating forgeries accurately while maintaining human interpretability remains a challenging task. Existing detection models primarily focus on simple authenticity classification, ultimately providing only a forgery probability or binary judgment, which offers limited explanatory insights into image authenticity. Moreover, while MLLM-based detection methods can provide more interpretable results, they still la…

dutch_criticism: Dutch literacy criticism (1976)
A network of criticisms among Dutch literary authors in 1976. The directed edge (i,j) denotes that an author i passed judgment on author j's work in an interview or review.
This network has 35 nodes and 81 edges.
Tags: Social, Offline, Unweighted
https://

Reducing the weight of low exam scores may raise average grades but does not appear to impact equity gaps
Nicholas T. Young, Rebecca L. Matz, Eric F. Bell, Caitlin Hayward
https://arxiv.org/abs/2508.09906

Reducing the weight of low exam scores may raise average grades but does not appear to impact equity gaps
Students interpret grades as signals of their strengths, and grades inform students' decisions about majors and courses of study. Differences in grades that are not related to learning can impact this judgment and have real-world impact on course-taking and careers. Existing work has examined how an overemphasis on high-stakes exams can create equity gaps where female students and Black, Hispanic, and Native American students earn lower grades than male students and Asian and white students, re…

NyayaRAG: Realistic Legal Judgment Prediction with RAG under the Indian Common Law System
Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Shivam Mishra, Ajay Varghese Thomas, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya
https://arxiv.org/abs/2508.00709

NyayaRAG: Realistic Legal Judgment Prediction with RAG under the Indian Common Law System
Legal Judgment Prediction (LJP) has emerged as a key area in AI for law, aiming to automate judicial outcome forecasting and enhance interpretability in legal reasoning. While previous approaches in the Indian context have relied on internal case content such as facts, issues, and reasoning, they often overlook a core element of common law systems, which is reliance on statutory provisions and judicial precedents. In this work, we propose NyayaRAG, a Retrieval-Augmented Generation (RAG) framewo…

Trump loses bid to overturn $83.3 million judgment in E. Jean Carroll defamation case (Kevin Breuninger/CNBC)
https://www.cnbc.com/2025/09/08/trump-carroll-defamation-appeal.html
http://www.memeorandum.com/250908/p44#a250908p44

dutch_criticism: Dutch literacy criticism (1976)
A network of criticisms among Dutch literary authors in 1976. The directed edge (i,j) denotes that an author i passed judgment on author j's work in an interview or review.
This network has 35 nodes and 81 edges.
Tags: Social, Offline, Unweighted
https://

Movies watched in September, loosely ranked (being on the bottom doesn’t mean it’s bad)
- One Battle After Another
- La Haine
- Terminator 2: Judgment Day 🔁
- The Crucible 🧛
- Scream 🩸🔁
- Honey Don't!
- Reflection in a Dead Diamond 🩸
- The Toxic Avenger Unrated 🩸
- The Roses
- The Toxic Avenger 🩸🔁
- The Fantastic 4: First Steps
slept through most:
- Future War 📺
🔁 — rewatch
🩸 — Creepy Crypt
🧛 — bis(s) zu…

Audio Deepfake Verification
Li Wang, Junyi Ao, Linyong Gan, Yuancheng Wang, Xueyao Zhang, Zhizheng Wu
https://arxiv.org/abs/2509.08476 https://arxiv.org/pd…

Audio Deepfake Verification
With the rapid development of deepfake technology, simply making a binary judgment of true or false on audio is no longer sufficient to meet practical needs. Accurately determining the specific deepfake method has become crucial. This paper introduces the Audio Deepfake Verification (ADV) task, effectively addressing the limitations of existing deepfake source tracing methods in closed-set scenarios, aiming to achieve open-set deepfake source tracing. Meanwhile, the Audity dual-branch architect…

D.C. judge excoriates Trump policing surge, demands answers from Pirro
A federal magistrate judge overseeing a torrent of cases during President Donald Trump’s policing surge in D.C.
condemned administration officials at a hearing Thursday,
saying they were trampling people’s rights
by overcharging them with felonies and then moving slowly to dismiss the weakest cases
while the defendants languished in jail.

The blistering remarks by Magistrate Judge Zia …

D.C. judge excoriates Trump policing surge, demands answers from Pirro
Responding to Magistrate Judge Zia M. Faruqui’s remarks regarding President Donald Trump’s policing surge in D.C., U.S. Attorney Jeanine Pirro said the judge “has allowed his politics to consistently cloud his judgment.”

The Actuary's Final Word on Algorithmic Decision Making
Benjamin Recht
https://arxiv.org/abs/2509.04546 https://arxiv.org/pdf/2509.04546

The Actuary's Final Word on Algorithmic Decision Making
Paul Meehl's foundational work "Clinical versus Statistical Prediction," provided early theoretical justification and empirical evidence of the superiority of statistical methods over clinical judgment. Despite a century of empirical evidence supporting Meehl's central thesis, from early parole prediction studies in the 1920s to modern meta-analyses, confusion persists regarding when and why his troubling finding applies. This paper provides a contemporary theoretical justification for Meehl's …

"'The President lacks the authority': Trump's tariffs 'triggered chaos,' should be declared unconstitutional, manufacturers say"
NCLA seeks summary judgment win over Trump's tariffs
https://lawandcrime.com/high-profile/the-president-lacks-the-authority-trumps-tariffs-triggered-chaos-should-be-declared-unconstitutional-manufacturers-say/

Judging by Appearances? Auditing and Intervening Vision-Language Models for Bail Prediction
Sagnik Basu, Shubham Prakash, Ashish Maruti Barge, Siddharth D Jaiswal, Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee
https://arxiv.org/abs/2510.00088

Judging by Appearances? Auditing and Intervening Vision-Language Models for Bail Prediction
Large language models (LLMs) have been extensively used for legal judgment prediction tasks based on case reports and crime history. However, with a surge in the availability of large vision language models (VLMs), legal judgment prediction systems can now be made to leverage the images of the criminals in addition to the textual case reports/crime history. Applications built in this way could lead to inadvertent consequences and be used with malicious intent. In this work, we run an audit to i…

dutch_criticism: Dutch literacy criticism (1976)
A network of criticisms among Dutch literary authors in 1976. The directed edge (i,j) denotes that an author i passed judgment on author j's work in an interview or review.
This network has 35 nodes and 81 edges.
Tags: Social, Offline, Unweighted
https://

"Think First, Verify Always": Training Humans to Face AI Risks
Yuksel Aydin
https://arxiv.org/abs/2508.03714 https://arxiv.org/pdf/2508.03714

"Think First, Verify Always": Training Humans to Face AI Risks
Artificial intelligence enables unprecedented attacks on human cognition, yet cybersecurity remains predominantly device-centric. This paper introduces the "Think First, Verify Always" (TFVA) protocol, which repositions humans as 'Firewall Zero', the first line of defense against AI-enabled threats. The protocol is grounded in five operational principles: Awareness, Integrity, Judgment, Ethical Responsibility, and Transparency (AIJET). A randomized controlled trial (n=151) demonstrated that a m…

Advancing Automated Ethical Profiling in SE: a Zero-Shot Evaluation of LLM Reasoning
Patrizio Migliarini, Mashal Afzal Memon, Marco Autili, Paola Inverardi
https://arxiv.org/abs/2510.00881

Advancing Automated Ethical Profiling in SE: a Zero-Shot Evaluation of LLM Reasoning
Large Language Models (LLMs) are increasingly integrated into software engineering (SE) tools for tasks that extend beyond code synthesis, including judgment under uncertainty and reasoning in ethically significant contexts. We present a fully automated framework for assessing ethical reasoning capabilities across 16 LLMs in a zero-shot setting, using 30 real-world ethically charged scenarios. Each model is prompted to identify the most applicable ethical theory to an action, assess its moral a…

LLM Agents at the Roundtable: A Multi-Perspective and Dialectical Reasoning Framework for Essay Scoring
Jinhee Jang, Ayoung Moon, Minkyoung Jung, YoungBin Kim. Seung Jin Lee
https://arxiv.org/abs/2509.14834

LLM Agents at the Roundtable: A Multi-Perspective and Dialectical Reasoning Framework for Essay Scoring
The emergence of large language models (LLMs) has brought a new paradigm to automated essay scoring (AES), a long-standing and practical application of natural language processing in education. However, achieving human-level multi-perspective understanding and judgment remains a challenge. In this work, we propose Roundtable Essay Scoring (RES), a multi-agent evaluation framework designed to perform precise and human-aligned scoring under a zero-shot setting. RES constructs evaluator agents bas…

Aesthetic Experience and Educational Value in Co-creating Art with Generative AI: Evidence from a Survey of Young Learners
Chengyuan Zhang, Suzhe Xu
https://arxiv.org/abs/2509.10576

Aesthetic Experience and Educational Value in Co-creating Art with Generative AI: Evidence from a Survey of Young Learners
This study investigates the aesthetic experience and educational value of collaborative artmaking with generative artificial intelligence (AI) among young learners and art students. Based on a survey of 112 participants, we examine how human creators renegotiate their roles, how conventional notions of originality are challenged, how the creative process is transformed, and how aesthetic judgment is formed in human--AI co-creation. Empirically, participants generally view AI as a partner that s…

Multi-Agent Debate for LLM Judges with Adaptive Stability Detection
Tianyu Hu, Zhen Tan, Song Wang, Huaizhi Qu, Tianlong Chen
https://arxiv.org/abs/2510.12697 https://

Multi-Agent Debate for LLM Judges with Adaptive Stability Detection
With advancements in reasoning capabilities, Large Language Models (LLMs) are increasingly employed for automated judgment tasks. While LLMs-as-Judges offer promise in automating evaluations, current approaches often rely on simplistic aggregation methods (e.g., majority voting), which can fail even when individual agents provide correct answers. To address this, we propose a multi-agent debate judge framework where agents collaboratively reason and iteratively refine their responses. We formal…

From Ground Trust to Truth: Disparities in Offensive Language Judgments on Contemporary Korean Political Discourse
Seunguk Yu, Jungmin Yun, Jinhee Jang, Youngbin Kim
https://arxiv.org/abs/2509.14712

From Ground Trust to Truth: Disparities in Offensive Language Judgments on Contemporary Korean Political Discourse
Although offensive language continually evolves over time, even recent studies using LLMs have predominantly relied on outdated datasets and rarely evaluated the generalization ability on unseen texts. In this study, we constructed a large-scale dataset of contemporary political discourse and employed three refined judgments in the absence of ground truth. Each judgment reflects a representative offensive language detection method and is carefully designed for optimal conditions. We identified …

The illusion of a perfect metric: Why evaluating AI's words is harder than it looks
Maria Paz Oliva, Adriana Correia, Ivan Vankov, Viktor Botev
https://arxiv.org/abs/2508.13816

The illusion of a perfect metric: Why evaluating AI's words is harder than it looks
Evaluating Natural Language Generation (NLG) is crucial for the practical adoption of AI, but has been a longstanding research challenge. While human evaluation is considered the de-facto standard, it is expensive and lacks scalability. Practical applications have driven the development of various automatic evaluation metrics (AEM), designed to compare the model output with human-written references, generating a score which approximates human judgment. Over time, AEMs have evolved from simple l…

dutch_criticism: Dutch literacy criticism (1976)
A network of criticisms among Dutch literary authors in 1976. The directed edge (i,j) denotes that an author i passed judgment on author j's work in an interview or review.
This network has 35 nodes and 81 edges.
Tags: Social, Offline, Unweighted
https://

Evaluating and Mitigating LLM-as-a-judge Bias in Communication Systems
Jiaxin Gao, Chen Chen, Yanwen Jia, Xueluan Gong, Kwok-Yan Lam, Qian Wang
https://arxiv.org/abs/2510.12462 …

Evaluating and Mitigating LLM-as-a-judge Bias in Communication Systems
Large Language Models (LLMs) are increasingly being used to autonomously evaluate the quality of content in communication systems, e.g., to assess responses in telecom customer support chatbots. However, the impartiality of these AI "judges" is not guaranteed, and any biases in their evaluation criteria could skew outcomes and undermine user trust. In this paper, we systematically investigate judgment biases in two LLM-as-a-judge models (i.e., GPT-Judge and JudgeLM) under the point-wise scoring…

LLM-Assisted News Discovery in High-Volume Information Streams: A Case Study
Nick Hagar, Ethan Silver, Clare Spencer, Nicholas Diakopoulos
https://arxiv.org/abs/2509.25491 https…

LLM-Assisted News Discovery in High-Volume Information Streams: A Case Study
Journalists face mounting challenges in monitoring ever-expanding digital information streams to identify newsworthy content. While traditional automation tools gather information at scale, they struggle with the editorial judgment needed to assess newsworthiness. This paper investigates whether large language models (LLMs) can serve as effective first-pass filters for journalistic monitoring. We develop a prompt-based approach encoding journalistic news values - timeliness, impact, controversy…

LLMDistill4Ads: Using Cross-Encoders to Distill from LLM Signals for Advertiser Keyphrase Recommendations at eBay
Soumik Dey, Benjamin Braun, Naveen Ravipati, Hansi Wu, Binbin Li
https://arxiv.org/abs/2508.03628

LLMDistill4Ads: Using Cross-Encoders to Distill from LLM Signals for Advertiser Keyphrase Recommendations at eBay
Sellers at eBay are recommended keyphrases to bid on to enhance the performance of their advertising campaigns. The relevance of these keyphrases is crucial in avoiding the overcrowding of search systems with irrelevant items and maintaining a positive seller perception. It is essential that keyphrase recommendations align with both seller and Search judgments regarding auctions. Due to the difficulty in procuring negative human judgment at scale, employing LLM-as-a-judge to mimic seller judgme…

dutch_criticism: Dutch literacy criticism (1976)
A network of criticisms among Dutch literary authors in 1976. The directed edge (i,j) denotes that an author i passed judgment on author j's work in an interview or review.
This network has 35 nodes and 81 edges.
Tags: Social, Offline, Unweighted
https://

Long-context Reference-based MT Quality Estimation
Sami Ul Haq, Chinonso Cynthia Osuji, Sheila Castilho, Brian Davis
https://arxiv.org/abs/2509.13980 https://

Long-context Reference-based MT Quality Estimation
In this paper, we present our submission to the Tenth Conference on Machine Translation (WMT25) Shared Task on Automated Translation Quality Evaluation. Our systems are built upon the COMET framework and trained to predict segment-level Error Span Annotation (ESA) scores using augmented long-context data. To construct long-context training data, we concatenate in-domain, human-annotated sentences and compute a weighted average of their scores. We integrate multiple human judgment datasets…

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🎵 The Judgment of Paris, 'From High Olympus'
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ReviewerToo: Should AI Join The Program Committee? A Look At The Future of Peer Review
Gaurav Sahu, Hugo Larochelle, Laurent Charlin, Christopher Pal
https://arxiv.org/abs/2510.08867

ReviewerToo: Should AI Join The Program Committee? A Look At The Future of Peer Review
Peer review is the cornerstone of scientific publishing, yet it suffers from inconsistencies, reviewer subjectivity, and scalability challenges. We introduce ReviewerToo, a modular framework for studying and deploying AI-assisted peer review to complement human judgment with systematic and consistent assessments. ReviewerToo supports systematic experiments with specialized reviewer personas and structured evaluation criteria, and can be partially or fully integrated into real conference workflo…

dutch_criticism: Dutch literacy criticism (1976)
A network of criticisms among Dutch literary authors in 1976. The directed edge (i,j) denotes that an author i passed judgment on author j's work in an interview or review.
This network has 35 nodes and 81 edges.
Tags: Social, Offline, Unweighted
https://

Representing Beauty: Towards a Participatory but Objective Latent Aesthetics
Alexander Michael Rusnak
https://arxiv.org/abs/2510.02869 https://arxiv.org/pd…

Representing Beauty: Towards a Participatory but Objective Latent Aesthetics
What does it mean for a machine to recognize beauty? While beauty remains a culturally and experientially compelling but philosophically elusive concept, deep learning systems increasingly appear capable of modeling aesthetic judgment. In this paper, we explore the capacity of neural networks to represent beauty despite the immense formal diversity of objects for which the term applies. By drawing on recent work on cross-model representational convergence, we show how aesthetic content produces…

Truth-Aware Decoding: A Program-Logic Approach to Factual Language Generation
Faruk Alpay, Hamdi Alakkad
https://arxiv.org/abs/2510.07331 https://arxiv.org…

Truth-Aware Decoding: A Program-Logic Approach to Factual Language Generation
This paper introduces Truth-Aware Decoding (TAD), a verification-oriented decoding scheme that aligns neural language generation with knowledge bases. Situated in the tradition of probabilistic program semantics for sequence models, TAD augments modern instruction-tuned systems with a lattice of semantic guards that operate at decode time. Our contributions are fourfold: (i) a constraint-based semantics that renders oracle filtering as a program-logic judgment, (ii) a proof that greedy selectio…

Chatbot Deployment Considerations for Application-Agnostic Human-Machine Dialogues
Pablo Rivas, Chelsi Chelsi, Nishit Nishit, Laharika Ravula
https://arxiv.org/abs/2509.02611 ht…

Chatbot Deployment Considerations for Application-Agnostic Human-Machine Dialogues
Automatic conversation systems based on natural language responses are becoming ubiquitous, in part, due to major advances in computational linguistics and machine learning. The easy access to robust and affordable platforms are causing companies to have an unprecedented rush to adopt chatbot technologies for customer service and support. However, this rush has caused judgment lapses when releasing chatbot technologies into production systems. This paper aims to shed light on basic, elemental, …

🇺🇦 #NowPlaying on BBCRadio3's #TheEarlyMusicShow
Daniel Purcell, Spiritato!, Julian Perkins & Ashley Riches:
🎵 The Judgment of Paris, 'From High Olympus'
#DanielPurcell #Spiritato! #JulianPerkins #AshleyRiches

COLE: a Comprehensive Benchmark for French Language Understanding Evaluation
David Beauchemin, Yan Tremblay, Mohamed Amine Youssef, Richard Khoury
https://arxiv.org/abs/2510.05046

COLE: a Comprehensive Benchmark for French Language Understanding Evaluation
To address the need for a more comprehensive evaluation of French Natural Language Understanding (NLU), we introduce COLE, a new benchmark composed of 23 diverse task covering a broad range of NLU capabilities, including sentiment analysis, paraphrase detection, grammatical judgment, and reasoning, with a particular focus on linguistic phenomena relevant to the French language. We benchmark 94 large language models (LLM), providing an extensive analysis of the current state of French NLU. Our r…