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24 papers in the last four weeks, up 50% on the four weeks before. 0.3% of all new papers.

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  1. Why LLMs Give In: Conversational Factors and Reasoning Behind Medical Sycophancy

    Aug 2, 2026Kaike Ping, Buse Çarık, Caleb Wohn +3SycophancyConfabulation

    Virginia Tech · Shanghai Tongren Hospital, Shanghai Jiao Tong University School of Medicine · Emory University

  2. Sixteen models, fewer than two voices: measuring ensemble dispersion where no answer is uniquely correct

    Jul 31, 2026Mario Vega-Barbas, Lidia Mora-Valenciano, Iván Pau +2DiversityDispersion

    ETSIS de Telecomunicación, Universidad Politécnica de Madrid, Madrid, Madrid, Spain · Independent Researcher, Guadalajara, Spain · Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Huddinge, Stockholm, Sweden +4

  3. HierDoc: Hierarchical Page-to-Region Evidence Routing for Long-Document Visual Question Answering

    Jul 31, 2026Rongjian Gu, Wengang Zhou, Junyu Xiong +4Visual Document RetrievalAnswer

    University of Science and Technology of China · 2iFLYTEK Research · 3Anhui Transport Consulting & Design Institute Co. Ltd., Hefei, China

  4. AMTFV: Agentic Mathematical Tool-Flow Verification for LLM Self-Correction

    Jul 31, 2026Rui Zou, Yutao Zhu, Mengqi Wei +1LLM Reasoning StrategiesAnswer

    Gaoling School of Artificial Intelligence, Renmin University of China · National Engineering Research Center of Educational Big Data, Central China Normal University

  5. RLPF: Reinforcement Learning from Performance Feedback for Code Generation

    Jul 29, 2026Huihao Jing, Haozhe Cui, Wenbin Hu +9Code GenerationFeedback

    The Hong Kong University of Science and Technology (HKUST)

  6. GAUGE: Grading Agent-Built Financial Models Without a Golden Answer

    Jul 27, 2026Jiacheng Lu, Sinuo Wang, Wentao Zhao +12Finance BenchmarksGrading

    Shanghai Jiao Tong University Shanghai, China · StepFun Shanghai, China · University of Adelaide Adelaide, Australia +5

  7. Bound-Founded Semantics for Answer Set Programming with Difference Constraints: Preliminary Report

    Jul 23, 2026Pedro Cabalar, Jorge Fandinno, Nicolas Rühling +3Answer Set ProgrammingInequality Constraints

    University of A Corunna, Spain · University of A Coruña, Spain · University of Nebraska at Omaha, USA +3

  8. Verifiable Self-Evolution for Open-Ended Dialogue Skills via Future-Feedback Prediction

    Jul 21, 2026ChaoJin Zhao, Xuan JiangSelf-Evolving Skill LibrariesSelf-Evolution

    ByteDance

  9. Structured Output Collapses Answer Diversity Across 44 Language Models

    Jul 20, 2026Tapan ParikhLarge Language Model ResponsesAnswer

    Cornell Tech

  10. Semantically Similar, Yet Not Answerable: Diagnosing the Semantic-Answerability Gap in Table RAG

    Jul 20, 2026Jiaming Tian, Liyao Li, Wentao Ye +6Hievi-RagTabular Data

    Zhejiang University · Bank of Hangzhou Co., Ltd. · Zhejiang Lab

  11. DRNOISE: Benchmarking Deep Research Agents in Misleading Evidence Environments

    Jul 19, 2026Jun Nie, Zhiqin Yang, Zhenheng Tang +4Deep ResearchFalsehood

    Hong Kong Baptist University · University of Science and Technology of China · The Hong Kong University of Science and Technology

  12. DS@GT ARC at LongEval: Citation Integrity and Factual Grounding in Scientific QA

    Jul 15, 2026Brandon Michaels, Brendon JohnsonCitationsExplanation Faithfulness

    Georgia Institute of Technology, North Ave NW, Atlanta, GA 30332

  13. Value Leakage: An LLM's Answers Are Silently Shaped by Its Own Values

    Jul 15, 2026Jan Betley, Johannes Treutlein, Jan Dubiński +5Data LeakageValue

    1Truthful AI · 2Warsaw University of Technology · 3NASK National Research Institute +2

  14. LLM Judges Can Be Too Generous When There Is No Reference Answer

    Jul 14, 2026Chalamalasetti Kranti, Sowmya VajjalaLarge Language Model JudgesHuman Judgment

    Computational Linguistics, Department of Linguistics, University of Potsdam, Germany · National Research Council, Ottawa, Canada

  15. The One-Word Census: Answer-Choice Conformity Across 44 Language Models

    Jul 14, 2026Tapan ParikhLanguage Model ComputesAnswer

    Cornell Tech

  16. Policy-Conditioned Constrained Decoding for Column-Level Access Control in Text-to-SQL

    Jul 14, 2026Ryoto Miyamoto, Xin Fan, Hayato YamanaText-To-SqlAccess Control

    Waseda University

  17. PRISM Edit: One Vector for All Temporal Answers

    Jul 13, 2026Chen Huang, Qi Zheng, Ruiqin Zheng +2Multimodal Knowledge EditingAnswer

    Tsinghua University · ByteDance

  18. STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA

    Jul 12, 2026Xinkang Li, Rong Jiang, Xin Song +3Multi-Hop ReasoningMultimodal Query

    National University of Defense Technology, China · Harbin Institute of Technology, Shenzhen, China

  19. What Does Your Short-Answer VQA Score Actually Measure? Evaluator-Dependent Instability in Multimodal Short-Answer Benchmarks

    Jul 11, 2026Guanhua Ye, Niu Jingbin, Yan Li +4Multiple-Choice Visual Question AnsweringAnswer

    Beijing University of Posts and Telecommunications Beijing, China

  20. Similar Accuracy, Unequal Evidence: Search APIs as Decision Surfaces for Tool-Using Agents

    Jul 11, 2026Sriram Selvam, Anneswa GhoshRetrieversApplication Programming Interfaces

  21. From ambiguous utterances to governed reuse classes: canonicalization, quotient invariance, and conditional decidability

    Jul 11, 2026Cosimo Spera, Ray GarciaReuseTractability

    Minerva CQ (Bourbaki Intelligent Systems, Inc.), Los Gatos, CA, USA

  22. Two Axes of LLM Abstention: Answer Correctness and Question Answerability

    Jul 9, 2026Benedikt J. WagnerAnswerInstruction-Tuned Models

    City St George’s, University of London

  23. Answer Set Programming Energised! End-to-End Neurosymbolic Reasoning and Learning with ASP and Energy Based Models

    Jul 9, 2026Jakob Suchan, Julius Monsen, Salim Baloch +1Answer Set ProgrammingNeuro-Symbolic Framework

    Constructor University Bremen, Bremen, Germany · CoDesign Lab > Cognitive Vision · Örebro University, Örebro, Sweden

  24. What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness

    Jul 9, 2026Raphaël Sarfati, Pratyush Ranjan Tiwari, Siddharth Boppana +3Large Language Model ForecastingData-Driven Forecasting

    goodfire · eternis

  25. Final Checkpoints Are Not Enough: Analyzing Latent Reasoning Faithfulness Along Training Trajectories

    Jul 7, 2026Hengyu Jin, Shu Yang, Di WangEfficient Latent ReasoningExplanation Faithfulness

    Tongji University · Provable Responsible AI and Data Analytics (PRADA) Lab · King Abdullah University of Science and Technology

  26. Memory in the Loop: In-Process Retrieval as ExtendedWorking Memory for Language Agents

    Jul 6, 2026Yusuf Khan, Carlo LipizziWorking MemoryLoop

    Stevens

  27. Most LLM Conformity Needs No Speaker: Measuring the Speaker-Free Floor in Peer-Pressure Benchmarks

    Jul 6, 2026Yibo Hu, Jiaming QuConformityAnswer

    Illinois Institute of Technology · Amazon

  28. ChatImage: Navigating Long-Form LLM Answers through Interactive Images

    Jul 6, 2026Wencan Jiang, Jiangning Zhang, Yong LiuLarge Language Model ResponsesAnswer

    1Zhejiang University

  29. Detecting Answer-Driven Reasoning in LLM-Based Educational Tutors via Truncated Chain-of-Thought Auditing

    Jul 6, 2026Bonan Shen, Dingyan Shang, Youting Wang +1TutorsLLM Reasoning Strategies

    Independent Researcher United States · Northeastern University Boston, MA, USA · Syracuse University Syracuse, NY, USA

  30. Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees

    Jul 5, 2026Sijin Dong, Hiroyuki ShinnouLarge Language Model UncertaintyUncertainty Score

    1Ibaraki University, Japan.

  31. Improving LLMs via Validator-to-Generator Alignment

    Jul 2, 2026Juan Diego Rodriguez, Jocelyn Zhang, Katrin Erk +1Large Language Model GenerationAnswer

    Department of Computer Science, The University of Texas at Austin · Departments of Linguistics and Computer Science, University of Massachusetts Amherst · Department of Computer Science & Center for Data Science, New York University

  32. A-TMA: Decoupling State-Aware Memory Failures in Long-Term Agent Memory

    Jul 2, 2026Zitong Shi, Yixuan Tang, Anthony Kum Hoe TungLong-Term Agent MemoryArtificial Intelligence Assistants

    National University of Singapore

  33. What Survives Into Context: A Diagnostic for Budget-Constrained Multi-Hop RAG and When Submodular Evidence Packing Improves It

    Jul 1, 2026Ananto Nayan BalaAnswerFactual Recall

    Ahsanullah University of Science and Technology

  34. Think in English, Answer in Korean: Efficient Adaptation of Multilingual Tool-Using Agents

    Jun 30, 2026Utsav Garg, Sungjin Hong, Jason Jung +6Multilingual AgentsMultilingual Language Models

    1Cohere

  35. Budget-Adaptive Routing: Skipping the Weak When the Strong Answers Anyway

    Jun 29, 2026Wei Geng, Nitinder Mohan, Jörg OttAnswer

    Technical University of Munich Munich, Germany · TU Delft Delft, Netherlands

  36. Travel-Oriented Reasoning Large Language Model via Domain-Specific Knowledge Graphs

    Jun 28, 2026Vignesh Ram Nithin Kappagantula, Shayan Hassantabar, Samuel Simpson +1LLM Reasoning StrategiesJourney

    Expedia Group Seattle, Washington, USA

  37. When are likely answers right? On Sequence Probability and Correctness in LLMs

    Jun 25, 2026Johannes Zenn, Jonas GeipingCorrectnessSelf-Consistency

    Max Planck Institute for Intelligent Systems · ELLIS Institute Tübingen · AI Center Tübingen +2

  38. ProvenAI: Provenance-Native Traces of Evidence in Generated Answers

    Jun 24, 2026Mohammad Faizan, Dalal AlharthiCitationsTraceability

    College of Information Science University of Arizona

  39. video-SALMONN-R3^3: Learning to ReWatch, ReAsk, and ReAnswer for Efficient Video Understanding

    Jun 23, 2026Yixuan Li, Guangzhi Sun, Yudong Yang +1Video UnderstandingAnswer

    Tsinghua University · University of Cambridge

  40. The Correct Answer Trap: Pedagogically-Grounded Detection and Feedback for Hidden Misconceptions

    Jun 22, 2026Moiz Imran, Sahan BulathwelaStudent MisconceptionsTutors

    Department of Computer Science, University College London, The United Kingdom · Centre for Artificial Intelligence, University College London, The United Kingdom

  41. Position: Correct Answer, Wrong Mechanism -- When AI Scientists Defend General Claims Their Own Data Contradicts

    Jun 22, 2026Steven Young EuligArtificial Intelligence ScientistsCorrect

    Department of Physics and Laboratory for Particle Physics and Cosmology (LPPC), Harvard University, Cambridge, MA 02138, USA.

  42. Chains That See, Answers That Don't: A Multi-Aspect Evaluation Recipe for Forced Chain-of-Thought on Video-MME

    Jun 22, 2026Zhichao Fan, Yanhang Li, Zexin ZhuangLong Video Question AnsweringChain-of-Thought Reasoning

    University of Illinois Urbana-Champaign Urbana, Illinois, USA · Northeastern University Boston, Massachusetts, USA · Southern Methodist University Dallas, Texas, USA

  43. OpenBioRQ: Unsolved Biomedical Research Questions for Agents

    Jun 20, 2026Minbyul JeongBiomedical TextAgentic Benchmarks

    Upstage AI

  44. Ranking-and-Selection with Multiple Correct Answers and Non-Answerable Estimates

    Jun 20, 2026Qiaoqiao Wang, Wei YouSelection BiasRanking

    Dept. of Industrial Engineering and Decision Analytics, The Hong Kong University of Science and Technology, Hong Kong, China

  45. Answer Engineering: Local Trajectory Editing for Protocol-Constrained Decision Making in Large Language Models

    Jun 19, 2026Victor Lavrenko, Anastasiia MolodnitskaiaAnswerEngineering

    PeaceTech VC, Israel · Rambam Health Care Campus, Israel

  46. Optimal Scheduling in a Question-Answering Forum of Knowledge Workers

    Jun 18, 2026Rohit Negi, Mustafa YilmazSchedulersCrowdsourced Framework

    Carnegie Mellon University

  47. Does VLA Even Know the Basics? Measuring Commonsense and World Knowledge Retention in Vision-Language-Action Models

    Jun 17, 2026Nikita Kachaev, Andrey Moskalenko, Matvey Skripkin +10Vision-Language Foundation ModelsTask Success Rate

    1CogAI Lab · 2FusionBrain Lab · 3IAI MSU +8

  48. See First, Answer Later: Visual Evidence Pre-Alignment via Sufficiency-Driven RL

    Jun 16, 2026Yilian Liu, Sicong Leng, Guoshun Nan +7Visual EvidenceMultimodal Large Language Models

    Beijing University of Posts and Telecommunications, China · Nanyang Technological University, Singapore · China Telecom, China

  49. Who Flips? Self- and Cross-Model Counterarguments Reveal Answer Instability in LLMs

    Jun 14, 2026Nafiseh Nikeghbal, Amir Hossein Kargaran, Shaghayegh Kolli +1FlipsAnswer

    1Technical University of Munich · Munich Center for Machine Learning · 1Technical University of Munich 2 Munich Center for Machine Learning +2

  50. Formalize Once, Edit the Rest: Efficient Lean-Based Answer Selection for Math Reasoning

    Jun 14, 2026Ji Feng, Zhouxing ShiAutoformalizationFormalization

    University of California, Riverside

  51. Beyond the Commitment Boundary: Probing Epiphenomenal Chain-of-Thought in Large Reasoning Models

    Jun 11, 2026Daniel Scalena, Sara Candussio, Luca Bortolussi +3Chain-of-Thought ReasoningInference-Time

    CLCG, University of Groningen · University of Milano-Bicocca · University of Trieste +1

  52. Semantic Grading of Written Answers in Low-Resource Language Bangla Using a Fine-Tuned Lightweight Language Model

    Jun 10, 2026Meherun Farzana, Aniket Joarder, Mahmudul Hasan +1BanglaGrading

    Computer Science and Engineering, University of Dhaka

  53. Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models

    Jun 9, 2026Hartwig GrabowskiGradingHandwriting

    Institute for Machine Learning and Analytics (IMLA), Offenburg University, Offenburg, Germany.

  54. Divide and Cooperate: Role-Decomposed Multi-Agent LLM Training with Cross-Agent Learning Signals

    Jun 9, 2026Jaewan Park, Solbee Cho, Jay-Yoon LeeMixture-Of-AgentsMulti-Agent Large Language Model Systems

    Seoul National University

  55. When No Answer Is Correct: Diagnosing Absent Answer Detection for MLLMs in Video Understanding

    Jun 6, 2026Yiheng Wang, Yueqian Lin, Lichen Zhu +3Video Multimodal Large Language ModelsMultimodal Large Language Models

    Duke University, Durham, North Carolina, USA

  56. VisualFLIP: Do Predictions Depend on Task-Critical Visual Evidence in Multimodal Reasoning?

    Jun 5, 2026Didi Zhu, Changrui Chen, Stefanos Zafeiriou +1Multimodal Reasoning BenchmarksMultimodal Reasoning

    Imperial College London

  57. Diagnosing Evidence Utilization in Long-Context and Retrieval-Augmented Language Models under Matched Evidence Conditions

    Jun 4, 2026Haizhou XiaQuestion-Answering BenchmarksAnswer

    University of Western Ontario, Canada

  58. Evidence Graph Consistency in Retrieval-Augmented Generation: A Model-Dependent Analysis of Hallucination Detection

    Jun 4, 2026Jianru ShenCitation Hallucination DetectionHallucination Detection

    University of Montana Missoula, MT, USA

  59. Answer Presence Drives RAG Rewriting Gains

    Jun 4, 2026Yuejie Li, Yueying Hua, Ke Yang +8RewriteAnswer

    Ant Group

  60. Boosting Self-Consistency with Ranking

    Jun 3, 2026Maria Marina, Daniil Moskovskiy, Sergey Pletenev +3Self-ConsistencyQuestion-Answering Benchmarks

    AIRI · Skoltech · EPFL