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11 papers in the last four weeks, up 175% on the four weeks before. 0.1% of all new papers.

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  1. Scalable, Transferable Meta-network for Data Selection Requires a Different Loss (and Why the Obvious Choice is Problematic)

    Oct 1, 2026Zilin Du, Bowen Yang, Boyang Albert LiNatural Language DatasetsTraining Data

    College of Computing and Data Science Nanyang Technological University Singapore

  2. Shifting Mechanisms: How Positional Encoding Choice Shapes In-Context Retrieval

    Sep 29, 2026Eric Enouen, Sainyam GalhotraPositional EncodingEfficient Long-Context Inference

    Cornell University

  3. Social Choice Foundations for Simulation-Augmented Generation

    Sep 29, 2026Sonja Kraiczy, Smitha Milli, Ratip Emin Berker +6Scaling Improve Social SimulationMajority Voting

    University of Oxford · PrincInt · FAIR at Meta +4

  4. Similar Choices, Different Attention: Cross-Modal Associations in Humans and Vision-Language Models

    Sep 29, 2026Sumin Hong, Katsumi Ibaraki, Renee Shi +2Cross-ModalDynamic Attention

    University of Notre Dame

  5. Positional choice and robust collective behavior in fish schools: biohybrid experiments and modeling

    Sep 28, 2026Vahagn Grigoryan, Donato Romano, Cesare Stefanini +1Collective BehaviorsFish

    Sorbonne University Abu Dhabi, Abu Dhabi, UAE · BioRobotics Institute, Sant’Anna School of Advanced Studies, Pisa, Italy · Division of Computing and Mathematical Science, MBZUAI, Abu Dhabi, UAE

  6. Echoes of Deeds: Moral History Can Shape and Steer LLM Behavioral Choices

    Sep 28, 2026Lucio La Cava, Andrea TagarelliMoral ReasoningLarge Language Model Decisions

    DIMES Dept., University of Calabria, Italy

  7. Decision Readouts for Text-Mediated Video Anomaly Detection: An Exploratory Evaluation of Jev and Qwen

    Sep 28, 2026Xukui Qin, Youting Wang, Xinjie He +4Training-Free Video Anomaly DetectionReadout

    Independent researchers

  8. From Text Decisions to Pixels: An Study of Jev-Style Visual Choice Model

    Sep 24, 2026Xunlan Zhou, Xianliang Yang, Li ZhaoKnowledge-Based Visual Question AnsweringPixels

    School of Intelligence Science and Technology, Nanjing University, Suzhou, China · Microsoft Research Asia

  9. Script Choice in LLMs: Evidence for Late-Layer Commitment

    Sep 23, 2026David Kletz, Sandra Mitrović, Itay Sabato +2Cryptographic Merkle Tree CommitmentsCommitment

    SUPSI, IDSIA, Switzerland · Independent Researcher · armasuisse, Science & Technology, Switzerland

  10. Selective Inference for Deep Clustering in Latent Spaces

    Sep 23, 2026Eina Mizui, Tomohiro Shiraishi, Shunichi Nishino +1ClusteringLatent Space

    Nagoya University · RIKEN

  11. Type-Safe Is Not Error-Free: A Constrained Decision Head Follows the Option Name, Not the Rubric Bound to It

    Sep 22, 2026Yu Sun, Junhao Xu, Jiajia Shi +1DecisionsChoice

    Fudan University · University of Science and Technology of China

  12. Jev for Scientific Decisions: Evaluating Semantic Choices and Their Consequences

    Sep 21, 2026Boyuan Deng, Shuyi Fan, Hongyang Zhang +1Scientific WorkflowsScientific Discovery

    Johns Hopkins University · Columbia University · The Hong Kong Polytechnic University +1

  13. How Many Humans Are 32 LLM Judges Worth?

    Sep 18, 2026Chao Li, Yingying Yu, Yunfeng LiJudgesLarge Language Model Judges

    Tsinghua University · University College London · Hebei University of Economics and Business

  14. Reporting Practice Matters: The Impact of Reference Choice on Chest X-ray Report Evaluation

    Sep 16, 2026Daniel P. Jeong, Charles Q. Li, Hossein Hosseiny +5Radiology Report GenerationChest X-Ray

    Machine Learning Department, Carnegie Mellon University · Department of Radiology and Imaging Sciences, Allegheny Health Network · Data Science R&D, Highmark Health Enterprise Data & Analytics +1

  15. Multitask Reinforcement Learning for Assisting Choice Model Specification

    Sep 16, 2026Gabriel Nova, Stephane Hess, Sander Van CranenburghMulti-Turn Reinforcement LearningNew Tasks

    CityAI Lab, Transport and Logistics Group, Delft University of Technology, The Netherlands · Institute for Transport Studies and Choice Modelling Centre, University of Leeds, UK

  16. Whom Do AI Agents Work For? Role Assignment Induces Sponsorship Bias in LLM Recommenders

    Sep 16, 2026Davood Wadi, Yu MaAgentic CommerceDisclosures

    Desautels Faculty of Management McGill University Montreal, Quebec, Canada

  17. Learning Options for Compositional Motor Control with Adapter Banks

    Sep 15, 2026Sreejan Kumar, Marcelo Mattar, Lea DunckerSensorimotor ExperienceLearn

    Columbia University · New York University

  18. Can AI systems have free will?

    Sep 14, 2026Christian ListEthicsArtificial Intelligence Systems

    Munich Center for Mathematical Philosophy, LMU Munich, Munich, Germany

  19. Constraining ontology mappings using metaphysical choices

    Aug 8, 2026Giacomo De Colle, Helena Blackmore, Chris PartridgeOntologySemantic Mapping

  20. LangChoiceBench: Measuring and Explaining Programming-Language Choice in LLMs

    Aug 6, 2026Lukas Twist, Twm Stone, Helen Yannakoudakis +1Large Language Model BenchmarksChoice

    King’s College London, London, UK · MATS Research

  21. Quantization Effects on Biomedical LLM Reliability

    Aug 4, 2026Anton Rasmussen, Hong QinLarge Language Model ReliabilityLarge Language Model Quantization

    Old Dominion University Norfolk, VA 23529, USA

  22. Neural Networks with Local Converging Inputs for Efficient Options Pricing Models

    Aug 3, 2026Harris Cobb, Wenbo Hao, Yingjie LiuMathematical FinanceClassical Numerical Solver

    School of Mathematics, Georgia Institute of Technology, Atlanta, GA 30332

  23. An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks

    Jul 30, 2026Sheng Lun Christine Cao, Destenie Nock, Alex DavisDiscrete Choice ModelsPreference Learning

    Department of Electrical and Software Engineering, University of Calgary, Calgary, AB, Canada · Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA · Department of Civil Engineering, Carnegie Mellon University, Pittsburgh, PA, USA +1

  24. Nudging Sustainable Choices through LLM-Generated Recommendation Explanations

    Jul 28, 2026Haya Halimeh, Dietmar Jannach, Oliver MüllerNudgesSustainability

    Paderborn University, Germany · University of Klagenfurt, Austria

  25. The Importance of Encoder Choice:A Tabular-Image Study

    Jul 8, 2026Ilia Koloiarov, Diego Coello de Portugal Mecke, Vijaya Krishna Yalavarthi +2Multimodal LearningEncoders

    ISMLL & VWFS DARC · University of Hildesheim · Hildesheim, Germany +1

  26. OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction

    Jul 3, 2026Changjian Liu, Yong Gao, Yuqing Wang +5Origin Destination FlowsFlow Models

    School of Earth and Space Sciences Peking University China, CN 100871 · College of Artificial Intelligence Zhejiang University China, CN 310027

  27. Creating Impactful Autonomous Driving Datasets: A Strategic Guide from Research Gap to Benchmark

    Jul 1, 2026Richard Schwarzkopf, Jonas Merkert, Frank Bieder +22Naturalistic Driving DataScale Gap

    Karlsruhe Institute of Technology (KIT) · FZI Research Center for Information Technology, Karlsruhe

  28. Probe Choice Changes Canary-Memorization Verdicts: Three Post-Hoc Disagreement Case Studies in a Text-Dominant LoRA-Tuned Autoregressive Testbed

    Jun 30, 2026Zhichao Fan, Zexin Zhuang, Yanhang LiConversational MemoryVerdict

    University of Illinois Urbana-Champaign · Southern Methodist University · Northeastern University

  29. Geometric Measurements of the Axiom of Choice in Neural Proof Embeddings

    Jun 26, 2026Rodrigo Mendoza-SmithProofAxiom

    Independent Researcher.

  30. The Almost Intelligent Revolution: Options for Scaling Up Deliberation and Empowering People with AI

    Jun 18, 2026Serge SharoffDeliberationLarge Language Model Decisions

    School of Languages, Cultures and Societies, University of Leeds, UK

  31. A Unifying Lens on Supervised Fine-Tuning Through Target Distribution Design

    Jun 9, 2026Tong Xie, Yuanhao Ban, Yunqi Hong +3Supervised FinetuningModel Fine-Tuning

    University of California, Los Angeles (UCLA) · Arena

  32. Measuring the sensitivity of LLM-based structured extraction to prompt, model, and schema choices in clinical discharge summaries

    Jun 4, 2026Martin MurinClinical NotesLarge Language Model Pipelines

    DryLabz GmbH, Basel, Switzerland

  33. The Latin Substrate: How Language Models Represent and Mediate Script Choice

    May 29, 2026Daniil Gurgurov, Alan Saji, Katharina Trinley +2Representational CapacityChoice

    D German Research Center for AI (DFKI) · I Indian Institute of Technology, Madras · H University of Hamburg +1

  34. Auditing and Fixing Economic Validity in Tabular Foundation Models for Discrete Choice

    May 26, 2026Yingshuo Wang, Xian Sun, Yanhang Li +2Discrete Choice ModelsTabular Foundation Models

    University of California, Berkeley, CA, USA · Duke University, Durham, NC, USA · Northeastern University, Boston, MA, USA +2

  35. A Dialogue between Causal and Traditional Representation Learning: Toward Mutual Benefits in a Unified Formulation

    May 20, 2026Yan Li, Yuewen Sun, Shaoan Xie +4Causal Representation LearningRepresentation Learning

    1Mohamed bin Zayed University of Artificial Intelligence · 2Carnegie Mellon University

  36. Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning

    May 20, 2026Adda Akram Bendoukha, Heber Hwang Arcolezi, Nesrine Kaaniche +1Federated LearningAlgorithmic Fairness

    Samovar, T´el´ecom SudParis, Institut Polytechnique de Paris, France · ´ETS Montr´eal · CEA-LIST

  37. Boundedly Rational Meta-Learning in Sequential Consumer Choice

    May 15, 2026Mehrzad Khosravi, Max Kleiman-Weiner, Hema YoganarasimhanMeta-LearningConsumption

    University of Washington

  38. Language-Induced Priors for Domain Adaptation

    May 14, 2026Qiyuan Chen, Jiayu Zhou, Raed Al KontarDomain AdaptationTextual Priors

    Industrial and Operations Engineering University of Michigan Ann Arbor, MI 48109 · School of Information University of Michigan Ann Arbor, MI 48109

  39. Options, Not Clicks: Lattice Refinement for Consent-Driven MCP Authorization

    May 12, 2026Ying Li, Yanju Chen, Peiran Wang +4AuthorizationModel Context Protocol

    University of California, Los Angeles USA · University of California, San Diego USA · University of Texas at Arlington USA +1

  40. Same Brain, Different Prediction: How Preprocessing Choices Undermine EEG Decoding Reliability

    May 8, 2026Dengzhe Hou, Zihao Wu, Lingyu Jiang +3ElectroencephalographyBrain-Computer Interface

    Tohoku University · University of Georgia · Texas A&M University +1

  41. Surprisal Minimisation over Goal-directed Alternatives Predicts Production Choice in Dialogue

    May 1, 2026Tom Utting, Mario Giulianelli, Arabella SinclairUtterancesSurprisal

    University of Aberdeen · University College London

  42. When Choices Become Risks: Safety Failures of Large Language Models under Multiple-Choice Constraints

    Apr 18, 2026Yuheng Chen, Zhiyu Wu, Bowen Cheng +2Large Language Model SafetyLarge Language Models Fail

    Kagoshima University · Fudan University · China University of Petroleum-Beijing

  43. Pushing the Boundaries of Multiple Choice Evaluation to One Hundred Options

    Apr 16, 2026Nahyun Lee, Guijin SonLarge Language Model EvaluationChoice

    Chung-Ang University · Seoul National University

  44. Bayesian Deep Learning for Discrete Choice

    May 23, 2025Daniel F. Villarraga, Ricardo A. DazianoDiscrete Choice ModelsBayesian Neural Networks

    School of Civil and Environmental Engineering, Cornell University, 220 Hollister Hall, Ithaca, NY 14853, USA

  45. VALG: An Agentic System for ML Theory Research

    Date pendingDechen Zhang, Xuan Tang, Xinxiang Yin +3Theorem ProvingChoice

    The University of Hong Kong · Shenzhen Loop Area Institute