Large Reasoning Models

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31 papers in the last four weeks, up 158% on the four weeks before. 0.3% of all new papers.

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  1. SanSi: A Looped Typed Decision Model for System 1.5 Thinking

    Oct 6, 2026Shuyu Gan, Young-Jun Lee, Dongyeop KangLarge Reasoning Models

    University of Minnesota

  2. Better Call Reward: Reward Hacking as Strategic Abstention in Legal Reasoning Models

    Oct 5, 2026Subramanyam Sahoo, Justin ShenkLegal Reasoning TasksLarge Reasoning Models

    Horizon Research.

  3. Interpreting Reasoning of Large Language Models via Partial Information Decomposition

    Sep 30, 2026Barproda Halder, Qiuyi Zhang, Sanghamitra DuttaLarge Reasoning ModelsReasoning Trajectory

    University of Maryland, College Park · Elorian AI

  4. What Limits Recursive Reasoning Models: Optimization, Architecture and Test-Time Scaling

    Sep 30, 2026Yuliana Shakhvalieva, Dmitrii Kharchev, Viacheslav Bezrukov +4Recursive ModelsLarge Reasoning Models

    RND NLP, DAIMLD, Russian Federation

  5. When a Kindergartener Solves Calculus: Measuring Capability Leakage in Role-Prompted Reasoning Models

    Sep 30, 2026Pakhapoom Sarapat, Saksorn Ruangtanusak, Kunat Pipatanakul +1Large Reasoning ModelsMath Problems

    SCB DataX · Nanyang Technological University

  6. RATIO: Reasoning Analysis and Token-level Inference Optimization for Quantized Reasoning Models

    Sep 30, 2026Chengzhu Bao, Xianglong Yan, Tianao Zhang +3Post-Training QuantizationLarge Reasoning Models

    Shanghai Jiao Tong University

  7. OpenJev-RLCD: A Working RLCD Implementation

    Sep 30, 2026Zhimin Gao, Pichao WangReinforcement Learning With Verifiable RewardLarge Reasoning Models

  8. When Reasoning Goes Astray: Attention Dynamics of Uncontrolled Reasoning

    Sep 30, 2026Yuanhe Zhang, Ziwei Wang, Jie Ren +6Large Reasoning ModelsReasoning Errors

    Beijing University of Posts and Telecommunications · Wuhan University · Nanyang Technological University +1

  9. Hidden Reasoning Must Leak, but Need Not Be Readable: Fundamental Opportunities and Limits for Chain-of-Thought Monitoring

    Sep 29, 2026Mohammadali Mohammadkhani, Madhava Krishna, Yash Sarrof +1Chain-of-Thought ReasoningLarge Reasoning Models

    Saarland University, Saarland Informatics Campus · Zuse School ELIZA

  10. Towards Mitigating Deceptive Safety Alignment in Large Reasoning Models

    Sep 28, 2026Xiangyu Zhou, Saleh Zare Zade, Rafi Ibn Sultan +2Safety AlignmentLarge Reasoning Models

    Wayne State University

  11. Jailbreaks for Black-Box Uncertainty Quantification in Large Reasoning Models

    Sep 28, 2026Lucas Biechy, Cédric Eichler, Adrien Boiret +1Large Language Model UncertaintyLarge Reasoning Models

    Petscraft, Inria · Université Paris-Saclay · INSA CVL +2

  12. DeShortcut-Align: Decoupling Spurious Shortcuts for Robust Safety Alignment in Large Reasoning Models

    Sep 28, 2026Qirui Liu, Yichen Sun, Yan Wang +4Safety AlignmentLarge Language Model Alignment

    The State Key Laboratory of Blockchain and Data Security, Zhejiang University · Ant Group · Chongqing Ant Consumer Finance Co., Ltd

  13. Nudgeability: Reasoning Models Follow Confidence Signals Without Tracking Their Own Competence

    Sep 28, 2026Rohit Saxena, Utkarsh UpadhyayNudgesLarge Reasoning Models

  14. Investigating Human--AI Discrepancies via Multiple-Solution Problems

    Sep 28, 2026Zihao Wang, Francesco Insulla, Andrea MontanariLarge Reasoning ModelsDiscrepancy

    Department of Mathematics, Stanford University · Institute of Computational and Mathematical Engineering, Stanford University · Department of Statistics and Department of Mathematics, Stanford University

  15. Efficient Reasoning via Constrained Optimization in Latent Space

    Sep 28, 2026Zhinan Hou, XingChen Li, Keyou YouLarge Reasoning ModelsReasoning Traces

    Tsinghua University

  16. Steering Language Model Goals with Value Transplant

    Sep 28, 2026Pengcheng Jiang, Fabien RogerLatent Feature InterventionsLarge Reasoning Models

    Anthropic Fellows Program · Anthropic

  17. IVT-Guard: All-in-One Reasoning Model for AI-Generated Content Detection

    Sep 27, 2026Hongwei Niu, Yunpeng Luo, Hanjun Li +6Ai-Generated Content DetectionLarge Reasoning Models

    Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, Xiamen 361005, P.R. China · Tencent YouTu Lab

  18. Fine Until Fine-Tuned: Repeated Solutions Make Reasoning Fragile

    Sep 27, 2026Ely SheikhLarge Reasoning ModelsRepetition

    Aix-Marseille University

  19. Calibration, Not Answer Selection: Distilling Internal Confidence in Reasoning Models

    Sep 27, 2026Yadong Xi, Rongsheng Zhang, Tangjie Lv +2Confidence CalibrationLarge Reasoning Models

    NetEase · Amazon · Singapore University of Technology and Design

  20. Thinking Leakage: A Causal Audit of NoThink Post-Training in Hybrid Reasoning Models

    Sep 23, 2026Zehao Liu, Vasant G. HonavarLarge Reasoning ModelsPost-Training

    College of Information Sciences and Technology Pennsylvania State University

  21. Scaling of Capability and Efficiency at Inference Time in Large Reasoning Models

    Sep 22, 2026Moritz Laber, Zohair Shafi, Germans Savcisens +6Large Reasoning ModelsModel Size

    Northeastern University, Boston, Massachusetts, USA · Complexity Science Hub Vienna, Vienna, Austria · Santa Fe Institute, Santa Fe, New Mexico, USA

  22. Robust Failure, Conservative Repair: Textual Knowledge Distillation from Cross-Model Failures

    Sep 21, 2026Andrew Ren, Haokun Liu, Chenhao TanKnowledge DistillationProbe-Logit Distillation

    University of Chicago

  23. TelecomGPT-R1: Unified Post-Training for Reasoning Across Heterogeneous Telecom Tasks

    Sep 21, 2026Bohao Wang, Chenwei Wu, Hang Zou +7Large Reasoning ModelsLarge Language Models(Llms

    College of Information Science and Electronic Engineering, Zhejiang University, 310027 Hangzhou, China · Research Institute for Digital Future, Khalifa University, P O Box 127788, Abu Dhabi, UAE · Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109-2122, USA +1

  24. this-that-model-1.0: A typed decision model that decides in 30 ms, for a millionth of a cent

    Sep 20, 2026Zehua Cheng, Wei Dai, Jiahao SunFrontier ModelsDecisions

    University of Oxford

  25. On the Efficiency-Safety Dilemma in Large Reasoning Models

    Sep 20, 2026Yifei Yang, Zouying Cao, Xingrui Wang +4Large Reasoning ModelsJailbreak Attacks

    AGI Institute, School of Computer Science, Shanghai Jiao Tong University, Shanghai, China · Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Shanghai Jiao Tong University · Ant Group +2

  26. GUARD: Natural Forgetting in Large Reasoning Models via Guided Answer-Reasoning Distillation

    Sep 18, 2026Zeyu Yan, Guanghao Zhou, Minghui Qiu +2Large Language Model UnlearningLarge Reasoning Models

    East China Normal University, Shanghai, China · Unaffiliated

  27. When2Think: Learning When and How Much to Reason

    Sep 17, 2026Jaejun Shim, HyunJin Kim, Young Jin Kim +1Large Reasoning ModelsVerifiable Rewards

    Sungkyunkwan University · Microsoft

  28. First Token Matters: Understanding Safety Collapse in Large Reasoning Models

    Sep 16, 2026Yizheng Yang, Haining Yu, Yuechen Wang +4Large Language Model SafetyLarge Reasoning Models

    Harbin Institute of Technology, Harbin, China · Guangzhou University, Guangzhou, China · City University of Macau, Macau, China

  29. Beyond Safe Answers: Segment-Aware Listwise Alignment for Reasoning Safety in Large Reasoning Models

    Sep 14, 2026JungMin Yun, Junehyoung Kwon, Hayeong Ryu +3Large Reasoning ModelsReasoning Skills

    Department of Artificial Intelligence, Chung-Ang University · Graduate School of Advanced Imaging Sciences, Multimedia and Film, Chung-Ang University

  30. GTA: Graph Theory Agent and Benchmark for Algorithmic Graph Reasoning with LLMs

    Sep 14, 2026Zixiang Xu, Yanbo Wang, Chenxi Wang +6Graph RepresentationsLarge Language Model Benchmarks

    University of Southern California · University of California, Los Angeles · Mohamed bin Zayed University of Artificial Intelligence +2

  31. Lightning Weave: Improving the Accuracy-Efficiency Frontier of Reasoning Models through Capability Composition

    Sep 13, 2026Yecheng Wu, Song Han, Han CaiLarge Reasoning ModelsEfficient Inference

    Massachusetts Institute of Technology · NVIDIA

  32. Do Reasoning Representations Help Humans Evaluate LLM Outputs?

    Sep 8, 2026Jaewoo Lim, Sungbok Shin, Sanghyun HongLLM Reasoning StrategiesLarge Reasoning Models

    Oregon State University, Corvallis USA · Sogang University, Seoul, South Korea

  33. Does Deeper Reasoning Compromise Alignment? Revealing and Mitigating of Alignment Collapse in Large Reasoning Models

    Sep 8, 2026Yu-Hang Wu, Yu-Jie Xiong, Henghua Zhang +3Large Reasoning ModelsSafety Alignment

    Shanghai University of Engineering Science · The Hong Kong University of Science and Technology · A * STAR

  34. Frontier LLMs are effective batch optimizers: Assessing reasoning models in continuous and discrete settings

    Sep 2, 2026Frank Hu, Shriram Chennakesavalu, David GraffAdaptive OptimizersOptimization Modeling

    Prescient Design, Genentech South San Francisco, CA, USA

  35. Thinking effort aligns between humans and reasoning models in abductive reasoning

    Sep 1, 2026Henry ArthurLarge Reasoning ModelsAbductive Reasoning

    Center for Mind/Brain Sciences, University of Trento, Italy

  36. Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligence

    Aug 31, 2026Zhiqin Yang, Jingwen Fu, Yuhan Liu +16Process-Level SupervisionLarge Reasoning Models

    The Hong Kong University of Science and Technology · Zhongguancun Academy · Xi’an Jiaotong University +6

  37. Automated Testing of LLM-Based Post Hoc Explainers Using Model Checking as an Oracle

    Aug 31, 2026Dennis Gross, Helge SpiekerProbabilistic Model CheckingExplainable AI Methods

    Institut für Kommunikations- und Prüfungsforschung gGmbH · Simula Research Laboratory, Oslo, Norway

  38. The Differential Reasoning Router: Operationalizing Cost-Aware LLM Annotation in E-commerce

    Aug 31, 2026Cheng Lyu, Jingyue Zhang, Vinny DeGenova +2Large Language Model AnnotationsLLM Reasoning Strategies

    Wayfair

  39. MI-Distillation: Selecting from Model-Interpolated Instruct-Reasoning Data Spectrum for Chain-of-Thought Distillation

    Aug 30, 2026Yangsong Lan, Renkai Hu, HongKai Zheng +4Dataset DistillationLarge Reasoning Models

    College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, China · 2The Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing, China

  40. JPO: Juris Policy Optimization for Structured Legal Reasoning in Criminal Judgment Prediction

    Aug 30, 2026Zhaolu Kang, Yantao Liu, Tailong Luo +14Legal Reasoning TasksLarge Reasoning Models

    Hunyuan, Tencent · Peking University · Tsinghua University +5

  41. Chain-of-Thought Faithfulness of Reasoning Models Varies with Where and How Preference Cues Are Delivered

    Aug 29, 2026Aryo Pradipta Gema, Neel Rajani, Rohit Saxena +2Explanation FaithfulnessLarge Reasoning Models

    University of Edinburgh · University of Edinburgh, Miniml.AI

  42. ERR+: Sequential Entropy Resolution for Efficient and Decisive LLM Reasoning

    Aug 28, 2026Xin Jiang, Minhao Wang, Wen Wu +4LLM Reasoning StrategiesLarge Reasoning Models

    School of Computer Science and Technology, East China Normal University, Shanghai 200241, China · State Key Laboratory of Estuarine and Coastal Research, School of Computer Science and Technology, East China Normal University, Shanghai 200241, China

  43. EnterpriseRAG: Benchmarking LLM Instruction Adherence and Robustness under Non-Ideal Enterprise Retrieval

    Aug 12, 2026Huiqi Miao, Xinbao Sun, Bo Wang +6Instruction-Tuned ModelsLarge Reasoning Models

    Jiutian Research, China Mobile, Beijing, China

  44. ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling

    Aug 11, 2026Vaibhav Singh, Soumya Suvra Ghosal, Sarvesh Gharat +3Test-Time ScalingLarge Reasoning Models

    IIT Bombay · University of Maryland, College Park · Adobe Research

  45. BDH-CQ: In-Context Learning with Recurrent Latent Reasoning

    Aug 10, 2026Björn Engdahl, Adrian Kosowski, Jan Chorowski +6Efficient Latent ReasoningLarge Reasoning Models

    New York University

  46. SkillReason: Reasoning-Enhanced Agent Skill Retrieval for Implicit User Requests

    Aug 9, 2026Donghong Jiang, Endian Lin, Luoping Cui +6Agent Skill RetrievalSkills

    Beijing University of Posts and Telecommunications · Peking University · Beijing ZOYEN Technology Co., Ltd. +1

  47. Thought-Level Beam Search for Reasoning

    Aug 8, 2026Lijie Yang, Hongyin Luo, Jiawei Zhao +2Large Reasoning ModelsBeam Search

    Princeton University · MIT CSAIL · Meta AI

  48. Thinking Hard, Not Smart: Reasoning Models Fail to Ration Test-Time Compute Across Questions

    Aug 8, 2026Chenrui Fan, Yize Cheng, Ming Li +3Large Reasoning ModelsTest Time

    University of Maryland, College Park · MBZUAI, UAE

  49. REIN: Bridging the Gap between Reasoning and Reliability via Reflection and Abstention Alignment

    Aug 8, 2026Zhengze Huang, Luyang Yu, Di Hong +5Large Reasoning ModelsAbstention

    The State Key Laboratory of Blockchain and Data Security, Zhejiang University · Fudan University · The Hong Kong Polytechnic University

  50. ReCBM: Uncertainty-Gated Relational Reasoning for Concept Bottleneck Models

    Aug 7, 2026An Sui, Yuzhu Li, Fuping Wu +1Concept Bottleneck ModelsUncertainty-Aware Classification

    School of Data Science, Fudan University, Shanghai, China · Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China. · National Heart and Lung Institute, Imperial College London, London, United Kingdom.

  51. Fewer Tokens, Smaller Cache: Reward-Coordinated Efficient Reasoning

    Aug 5, 2026Qiyuan Zhu, Dezhi Li, Pengyu Cheng +8Large Reasoning ModelsKey-Value Cache Compression

    1HKUST · 2XJTU · 3TSE +1

  52. Easy to Complete, Hard to Choose: Investigating LLM Performance on the ProverbIT Benchmark

    Aug 5, 2026Enrico Mensa, Lorenzo Zane, Calogero Jerik Scozzaro +3LLM Reasoning StrategiesMetaphors

    Department of Computer Science, University of Turin, Turin, Italy · Independent Researcher

  53. Evaluating Theory of Mind in Reasoning Models: Robustness over Reasoning

    Aug 5, 2026Ian B. de Haan, Peter van der Putten, Max van DuijnLarge Reasoning ModelsTheory

    LIACS, Leiden University, The Netherlands

  54. PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation

    Aug 4, 2026Yongshi Ye, Biao Fu, Chongxuan Huang +2Machine TranslationDomain-Adapted Diffusion

    Institute of Artificial Intelligence, Xiamen University · Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan (Xiamen University), Ministry of Culture and Tourism · School of Informatics, Xiamen University

  55. TQLite: Multi-LLM Jury Guided Distillation for Real-time MQM Translation Quality Evaluation

    Aug 4, 2026Bhavin Jawade, Cameron R. WolfeMachine Translation QualityLarge Language Model Evaluation

    Netflix

  56. Does Accuracy Equal Evidence? Reasoning Faithfulness under KV Cache Compression

    Aug 3, 2026Mengting Ai, Jingrui He, Yue GuoKey-Value Cache CompressionExplanation Faithfulness

    University of Illinois Urbana-Champaign

  57. Recursive Vision Language Models for General Symbolic Reasoning

    Aug 2, 2026Omid Nejati Manzari, Guillaume Lajoie, Hassan RivazLarge Reasoning ModelsQwen3

    Concordia University, Montreal, Canada · Mila — Quebec AI Institute · Université de Montréal

  58. Same Task, Different Work: Prompt-Induced Waste in Coding Agents

    Aug 2, 2026Sarel Weinberger, Amir HozezCoding AgentsLarge Reasoning Models

    PointFive

  59. Beyond Routing Weights: Faithful Response-Level Interpretation of Mixture-of-Experts Reward Models via Contribution Contrast

    Jul 31, 2026Yifan Wang, Jinyi Mu, Mayank Jobanputra +4Progress Reward ModelingExpert Demonstrations

    Saarland University · University of California San Diego · Bielefeld University +2

  60. Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models

    Jul 30, 2026Yecheng Wu, Song Han, Han CaiEfficient On-Policy DistillationTeacher

    NVIDIA