Large Language Model Reasoning

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  1. Hybrid NARX-LLM for Greenland Iceberg Discharge: Prompt-Driven Residual Correction

    Jun 13, 2026Yiquan Gao, Duohui XuSea-Surface Temperature DataAutoregressive Model

  2. DLWM: Diverse Latent World Models for Efficient Multimodal Reasoning

    Jun 13, 2026David Huang, Lianlei ShanMultimodal ReasoningMultimodal Reasoning Benchmarks

  3. Beyond Accuracy: Measuring Bias Acknowledgment in Chain-of-Thought Reasoning for Responsible AI Evaluation

    Jun 13, 2026Xian Sun, Wei Gao, Yingshuo Wang +9Artificial Intelligence EvaluationImplicit Bias

  4. AdaMame: A Training Recipe for Adaptive Multilingual Reasoning

    Jun 13, 2026Dayeon Ki, Kevin Duh, Marine CarpuatMultilingual ReasoningLarge Language Model Reasoning

  5. Stop When Further Reasoning Won't Help: Attention-State Adaptive Generation in Reasoning Models

    Jun 13, 2026Jiakai Li, Ke Qin, Rongzheng Wang +4Large Reasoning ModelsTest-Time Scaling

  6. CoRA: Confidence-Rationale Alignment for Reliable Chain-of-Thought Reasoning

    Jun 12, 2026Juming Xiong, Weixin Liu, Kevin Guo +9Large Language Model ReasoningChain-of-Thought Reasoning

  7. PrologMCP: A Standardized Prolog Tool Interface for LLM Agents

    Jun 12, 2026Agnieszka Mensfelt, Adarsh Prabhakaran, Adrian Haret +2Large Language Model ReasoningTheorem

  8. AdaSR: Adaptive Streaming Reasoning with Hierarchical Relative Policy Optimization

    Jun 12, 2026Junlong Tong, Wenqi Xu, Yingqi Fan +4Large Reasoning Models

  9. CORA: Analyzing and bridging thinking-answer gap in Multimodal RLVR via Consistency-Oriented Reasoning Alignment

    Jun 12, 2026Jiayue Cao, Zhicong Lu, Xuehan Sun +6Multimodal Reasoning BenchmarksReinforcement Learning With Verifiable Reward

  10. A Definition of Good Explanations and the Challenges Explaining LLM Outputs

    Jun 12, 2026Louis Mahon, Elliot Ford, Callum HackettExplainabilityCounterfactual Explanation

  11. AudioDER: A Deduplication-Enhanced Reasoning Dataset for Post-Training Large Audio-Language Models

    Jun 12, 2026Hui Geng, Yi Su, Han Yin +7Large Audio Language ModelsTable Reasoning Datasets

  12. From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI

    Jun 12, 2026Yongheng Zhang, Ziang Liu, Jiaxuan Zhu +17ChatbotsArtificial Intelligence Systems

  13. CacheRL:Multi-Turn Tool-Calling Agents via Cached Rollouts and Hybrid Reward

    Jun 12, 2026Md Amirul Islam, Sumiran Thakur, Huancheng Chen +3Agentic BenchmarksAgentic Tool Use

  14. Simulating Students' Java Programming Errors with Large Language Models

    Jun 12, 2026Ali Keramati, Jie Cao, Iman Mohammadi +2User SimulationReasoning Errors

  15. Adaptive Nucleus Truncation for Long-Form Reasoning

    Jun 12, 2026Ousmane Amadou DiaLarge Language Model ReasoningTruncation

  16. SuperThoughts: Reasoning Tokens in Superposition

    Jun 11, 2026Zheyang Xiong, Shivam Garg, Max Yu +4ThinkingLLM Inference Efficiency

  17. Temporal Backtracking Search for Test-time Generative Video Reasoning

    Jun 11, 2026Sejoon Jun, Zheng Ding, Huangyuan Su +2High-Fidelity Video GenerationTest-Time Scaling

  18. MA-ProofBench: A Two-Tiered Evaluation of LLMs for Theorem Proving in Mathematical Analysis

    Jun 11, 2026Lushi Pu, Weiming Zhang, Xinheng Xie +6TheoremMathematics

  19. Operadic consistency: a label-free signal for compositional reasoning failures in LLMs

    Jun 11, 2026Nathaniel Bottman, Yinhong Liu, Kyle RichardsonReasoning FailuresSelf-Consistency

  20. Operads for compositional reasoning in LLMs

    Jun 11, 2026Nathaniel Bottman, Kyle RichardsonLarge Language Model ReasoningLogical Connectives

  21. Reasoning as Pattern Matching: Shared Mechanisms in Human and LLM Everyday Reasoning

    Jun 11, 2026Zach Studdiford, Gary LupyanLarge Language Model ReasoningReasoning Errors

  22. ReSum: Synergizing LLM Reasoning and Summarization with Reinforcement Learning

    Jun 11, 2026Xucong Wang, Ziyu Ma, Yong Wang +5Large Language Model ReasoningReinforcement Learning With Verifiable Reward

  23. DuET: Dual Expert Trajectories for Diffusion Image Editing

    Jun 11, 2026Lidia Troeshestova, Alexander Ustyuzhanin, Sergey KastryulinDiffusion EditingImage Editing

  24. ARMOR-MAD: Adaptive Routing for Heterogeneous Multi-Agent Debate in Large Language Model Reasoning

    Jun 11, 2026Fuqiang Niu, Bowen ZhangMulti-Agent DebateDebate

  25. Mental-R1: Aligning LLM Reasoning for Mental Health Assessment

    Jun 11, 2026Xin Wang, Boyan Gao, Yibo Yang +1Mental HealthLarge Language Model Reasoning

  26. NTS-CoT: Mitigating Hallucinations in LLM-based News Timeline Summarization with Chain-of-Thought Reasoning

    Jun 11, 2026Feng Lyu, Huiqin Yan, Sijing Duan +5SummarizationLarge Language Model Hallucination

  27. Select and Improve: Understanding the Mechanics of Post-Training for Reasoning

    Jun 11, 2026Akshay Krishnamurthy, Audrey Huang, Nived RajaramanReinforcement Learning Post-TrainingLarge Reasoning Models

  28. Demystifying Hidden-State Recurrence: Switchable Latent Reasoning with On-Policy Reinforcement Learning

    Jun 11, 2026Jiayu Yang, Chao Chen, Shengen Wu +6Efficient Latent ReasoningHidden States

  29. LaME: Learning to Think in Latent Space for Multimodal Embedding via Information Bottleneck

    Jun 11, 2026Peixi Wu, Biao Yang, Feipeng Ma +7Multimodal EmbeddingsEfficient Latent Reasoning

  30. SciR: A Controllable Benchmark for Scientific Reasoning in LLMs

    Jun 11, 2026Pierre Beckmann, Marco Valentino, Andre FreitasReasoning BenchmarkScientific Discovery

  31. The Illusion of Multi-Agent Advantage

    Jun 11, 2026Prathyusha Jwalapuram, Hehai Lin, Chuyuan Li +7Multi-Agent SystemsTable Reasoning Datasets

  32. MARS: Margin-Adversarial Risk-controlled Stopping for Parallel LLM Test-time Scaling

    Jun 11, 2026Wenbo Chen, Puheng Li, Mengyang Liu +2Reasoning TracesLarge Models

  33. Constructing Evaluation Datasets for Procedural Reasoning: Balancing Naturalness, Grounding, and Multi-Hop Coverage

    Jun 11, 2026Sarah Elshabrawy, Rahul K. Dass, Ashok K. GoelTable Reasoning DatasetsMulti-Hop Reasoning

  34. VLADriveBench: Evaluating CoT-Action Relationship in VLA for Autonomous Driving

    Jun 10, 2026Thach Nguyen, Danhua Guo, Tom Lampo +2Vision-Language-Action ModelsSaliency

  35. Observable Patterns Are Not Explanations: A Causal-Geometric Analysis of Latent Reasoning Models

    Jun 10, 2026Darpan Aswal, Thomas Palmeira Ferraz, Yongxin Zhou +1Efficient Latent ReasoningLatent Thoughts

  36. "Did you lie?" Evaluating Lie Detectors across Model Scale and Belief-Verified Model Organisms

    Jun 10, 2026Alan Cooney, David Africa, Geoffrey IrvingBeliefChain-of-Thought Reasoning

  37. Shopping Reasoning Bench: An Expert-Authored Benchmark for Multi-Turn Conversational Shopping Assistants

    Jun 10, 2026Shuxian Fan, Seonwoo Min, Youna Hu +7Agentic CommerceReasoning Benchmark

  38. Agreement in Representation Space for Open-Ended Self-Consistency

    Jun 10, 2026Paula Ontalvilla, Gorka Azkune, Aitor OrmazabalSelf-ConsistencyLarge Language Model Generation

  39. Bootstrapped Monitoring: Leveraging Transparent Reasoning to Oversee Stronger AI Agents

    Jun 10, 2026Frank Xiao, Mary PhuongTrustworthy Artificial IntelligenceScalable Oversight

  40. Decoding Multimodal Cues: Unveiling the Implicit Meaning Behind Hateful Videos

    Jun 10, 2026Junyu Lu, Deyi Ji, Liqun Liu +9HateHate Speech

  41. The Art of Interrogation: Consistency Amplifies Factuality in Spatial Reasoning

    Jun 10, 2026Theo Uscidda, Marta Tintore Gazulla, Maks Ovsjanikov +2Spatial ReasoningLarge Language Model Reasoning

  42. Beyond representational alignment with brain-guided language models for robust reasoning

    Jun 10, 2026Mingqing Xiao, Kai Du, Zhouchen LinLarge Language Model ReasoningLarge Language Model Alignment

  43. Representing Time Series as Structured Programs for LLM Reasoning

    Jun 10, 2026Jaeho Kim, Changhun Oh, Seokhyun Lee +2Time SeriesLarge Language Model Reasoning

  44. TouchThinker: Scaling Tactile Commonsense Reasoning to the Open World with Large-scale Data and Action-aware Representation

    Jun 10, 2026Kailin Lyu, Di Wu, Pengwei Zhang +12Thinking

  45. The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes

    Jun 9, 2026Avinash Anand, Mahisha Ramesh, Avni Mittal +7Large Language Model ReasoningLarge Language Model Performance

  46. Forecasting Future Behavior as a Learning Task

    Jun 9, 2026Mosh Levy, Yoav Goldberg, Asa Cooper SticklandReasoning TrajectoryLarge Reasoning Models

  47. Predicting Future Behaviors in Reasoning Models Enables Better Steering

    Jun 9, 2026Evgenii Kortukov, Piotr Komorowski, Florian Klein +5Large Reasoning ModelsActivation Steering

  48. ReasonAlloc: Hierarchical Decoding-Time KV Cache Budget Allocation for Reasoning Models

    Jun 9, 2026Wenhao Liu, Hao Shi, Yunhe Li +7Large Reasoning ModelsKey-Value

  49. Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It

    Jun 9, 2026Xinyu Zhou, Boyu Zhu, Yi Xu +4Efficient Long-Context InferenceChain-of-Thought Reasoning

  50. Does Reasoning Preserve Alignment? On the Trustworthiness of Large Reasoning Models

    Jun 9, 2026Prajakta Kini, Avinash Reddy, Souradip Chakraborty +4Large Reasoning ModelsInstruction-Tuned Models

  51. Provenance Tracking in AI Compilers through the Lens of Coalgebra

    Jun 9, 2026Zilu Tian, Liying LiuProvenanceReasoning Traces

  52. Evaluating Research-Level Math Proofs via Strict Step-Level Verification

    Jun 9, 2026Yifeng SunMathematicsReasoning Errors

  53. Dep-LLM: Training-Free Depression Diagnosis via Evidence-Guided Structured Multi-factor with Reliable LLM Reasoning

    Jun 9, 2026Yiqing Lyu, Xianbing Zhao, Buzhou Tang +1Depression DetectionLarge Language Models(Llms

  54. When the Chain of Thought Knows Better: Failure Modes in Multi-Turn Reasoning Models

    Jun 9, 2026Sai Kartheek Reddy Kasu, Nils Lukas, Samuele PoppiReasoning FailuresFake News

  55. How Does Reasoning Flow? Tracing Attention-Induced Information Flow for Targeted RL in LLMs

    Jun 9, 2026Zhichen Dong, Yang Li, Yuhan Sun +9Large Language Model ReasoningCredit Assignment

  56. GaussTrace: Provenance Analysis of 3D Gaussian Splatting Models with Evidence-based LLM Reasoning

    Jun 9, 2026Haoliang Han, Ziyuan Luo, Renjie Wan3D Gaussian SplatsProvenance

  57. ComBench: A Benchmark for Rigorous Proof Reasoning and Constructive Realization in Olympiad-Level Combinatorics

    Jun 9, 2026Shunkai Zhang, Haoran Zhang, Yun Luo +15Olympiad-Level ProblemCombinations

  58. WebChallenger: A Reliable and Efficient Generalist Web Agent

    Jun 9, 2026Jayoo Hwang, Xiaowen Zhang, Vedant PadwalWeb AgentsAutonomous Exploration Strategies

  59. KCSAT-ML: Probing Reasoning Models with Nationwide-Cohort Human Difficulty

    Jun 9, 2026Sanghee Park, Geewook Kim, Kee-Eung KimReasoning BenchmarkLarge Reasoning Models

  60. Reasoning or Memorization? Direction-Aware Diversity Exploration in LLM Reinforcement Learning

    Jun 9, 2026Jiangnan Xia, Yucheng Shi, Yu Yang +3Large Language Model ReasoningMemorization