LLM Reasoning Strategies

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75 papers in the last four weeks, up 108% on the four weeks before. 0.7% of all new papers.

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PHRBench: A Behavioral Evaluation of Post-Hallucination Reasoning in LLMs
Oct 7, 2026Linghao Meng, Feng He, Xuan Yang +5LLM Reasoning Strategies
National University of Singapore · Independent Researcher · Tsinghua University +2
Bridge Routing Heads: Where Multilingual Multi-hop Reasoning Lives in LLMs
Oct 7, 2026Seunghan Kim, Minyeong Choe, Hyunil Kim +1LLM Reasoning Strategies
Chosun University · Soongsil University
Which Language Should a Skeleton Speak? Language Choices in Multilingual Reasoning
Oct 7, 2026HyeonSeok Lim, SeungWoo Song, Inho Won +3LLM Reasoning Strategies
ETRI · KAIST · Department of Artificial Intelligence, Dankook University
U-Space: Uncovering When and Why Uncertainty Arises in Language Models
Oct 6, 2026Tobias Braun, Nils Loose, Alexander Herzog +4Large Language Model Uncertainty LLM Reasoning Strategies
Technische Universität Darmstadt · University College London · Universität zu Lübeck +2
COMPASS: Finding Where Reasoning Lives in Language Models
Oct 5, 2026Pratyay Dutta, Kowshik Thopalli, Vivek NarayanaswamyLLM Reasoning Strategies
University of California, Riverside, CA 92521. Work performed during a summer internship at Lawrence Livermore National Laboratory · Lawrence Livermore National Laboratory, Livermore, CA 94550.
Learning without Overwriting: A Theory of Self-Distillation and Supervised Fine-Tuning in Continual Reasoning
Oct 4, 2026Shinichi Uemura, Taiji SuzukiUnsupervised On-Policy Self-Distillation Supervised Finetuning
Department of Mathematics Informatics, The University of Tokyo · Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan
The Missing Primitive: Diagnosing and Repairing Mathematical Reasoning in Large Language Models
Oct 1, 2026Shuo Xing, Zilin Dai, Chengyuan Qian +7Mathematical Reasoning LLM Reasoning Strategies
Texas A&M University · Harvard University · Vanderbilt University +3
CARM: Cancellation-Aware Response Masking for LLM Reinforcement Learning
Oct 1, 2026Yafei Zhang, Songshuo Lu, Sicong Liao +2Large Language Model Reinforcement Learning LLM Reasoning Strategies
Moore Threads AI
On Language Drift during RLVR Post-Training
Oct 1, 2026Michael Sullivan, Alexander KollerLarge Language Model Reinforcement Learning LLM Reasoning Strategies
Department of Language Science and Technology, Saarland University, Saarbrücken, Germany.
A rubric landscape for evaluating clinical reasoning in large language models: what exists, what is missing, and what needs to be combined
Oct 1, 2026Zhangshu Joshua Jiang, Zina Ibrahim, James T. TeoClinical Reasoning Training LLM Reasoning Strategies
DRIVE-Health CDT Department of Biostatistics and Health Informatics Institute of Psychiatry, Psychology and Neuroscience King’s College London London, UK
Learning to Ask: Information Acquisition for SLM-LLM Collaboration, under a budget
Oct 1, 2026Yongjun Kim, Xiaoxiao Li, Jaeho LeeLLM Reasoning Strategies Collaboration
Pohang University of Science and Technology (POSTECH) · Department of Electrical and Computer Engineering, University of British Columbia · Vector Institute
Probe with Participation Trophies: Random-Reward RL as a Probe of LLM Capability
Oct 1, 2026Yu Mao, Lei Yu, Zining Zhu +6Large Language Model Reinforcement Learning LLM Reasoning Strategies
University of Toronto · Stevens Institute of Technology · University of California, Santa Cruz +3
ReHoPER: Receding-Horizon Planning for Enhanced Reasoning
Oct 1, 2026Saeed Ahmadnia, Cornelia CarageaLLM Reasoning Strategies Large Language Model Planning
Department of Computer Science University of Illinois Chicago
Ontology-Grounded, Reasoner-Verified Benchmarks for Evaluating LLM Reasoning in Scientific AI
Sep 30, 2026Nishtha N. Vaidya, Stephan Grimm, Thomas Hubauer +1Reasoning Benchmark LLM Reasoning Strategies
Siemens AG · Technical University of Munich
Can LLMs Reason Over Long Horizons? An Empirical Evaluation of Context Strategies for Longitudinal Clinical Reasoning
Sep 30, 2026Taye Akinrele, Noorbakhsh Amiri Golilarz, Subash Neupane +2LLM Reasoning Strategies Efficient Long-Context Inference
Department of Computer Science, The University of Alabama
Can Computation from Earlier Problems Help LLMs Solve New Ones?
Sep 30, 2026Jipei He, Wenhui Tan, Xiaoyi Yu +4LLM Reasoning Strategies Replay
Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China · University of Modena and Reggio Emilia, Italy
ANI: Adaptive Numerical Injection for Unifying Semantic and Arithmetic Representations in Numerical Reasoning
Sep 30, 2026Jinsung Jeon, Seung-won HwangLLM Reasoning Strategies Behavioral Embeddings
KAIST InnoCORE LLM · Seoul National University · Korea University
Making LLMs Say What They Think: Measuring and Improving CoT-Interpretability Alignment
Sep 30, 2026Yihuai Hong, Shauli Ravfogel, Chen Zhao +1LLM Reasoning Strategies Chain-of-Thought Reasoning
New York University · NYU Shanghai
Targeted Retrieval, Compact Representations: How CoT Reasoning Improves Long-Context Counting
Sep 30, 2026Liang Twist Shan, Tianyu Hu, Hao Yan +1LLM Reasoning Strategies Long-Context Reasoning
Department of Statistics, University of Wisconsin-Madison · Department of Computer Sciences, University of Wisconsin-Madison
Diversity Combining for Multi-Path LLM Reasoning
Sep 30, 2026Guangsheng Yu, Litianyi Zhang, Qin Wang +5Reasoning Paths LLM Reasoning Strategies
University of Technology Sydney · The University of Sydney · CSIRO +2
StateTree: Enhancing Long-Term Dialogue Reasoning via Reinforcement Learning
Sep 30, 2026Naen Xu, Wanqing Cui, Yibo Hu +5LLM Reasoning Strategies Dialogue Benchmarks
Zhejiang University · Taobao & Tmall Group of Alibaba
Provable Test-Time Scaling for Beam Search in LLM Reasoning
Sep 29, 2026Qijia He, Yu Huang, Yuan Cheng +2Beam Search LLM Reasoning Strategies
The Ohio State University · University of Pennsylvania · National University of Singapore
What Was Said, Not What Was 'Thought': Type-6 Logic for CoT Verification
Sep 29, 2026Adrian de WynterLLM Reasoning Strategies Chain-of-Thought Reasoning
Microsoft and the University of York
ArgGYM: A Procedural, Engine-Verified Benchmark for Structured Defeasible Reasoning
Sep 29, 2026İbrahim Ethem Deveci, Funda Tan Çalık, Barış Deniz Sağlam +1Reasoning Benchmark LLM Reasoning Strategies
Graduate School of Informatics Middle East Technical University Ankara, Türkiye
Probability is Not Enough: Exploring and Counting Divergent Tokens for Reasoning Uncertainty Quantification in LLMs
Sep 29, 2026Feiyang Li, Shengjing Liu, Qi Zhan +7Large Language Model Uncertainty Confidence Calibration
College of Computer Science and Software Engineering, Shenzhen University · Tsinghua University · Behavioral and Spatial AI Lab, Peking University & Tongji University
Diagnosing and Improving Probabilistic Reasoning in Large Language Models
Sep 29, 2026Huaman Sun, Dingcheng Wang, Jason Hartline +1LLM Reasoning Strategies Probabilistic Model
Department of Computer Science Northwestern University Evanston, IL 60201, USA
Overcoming Scaling Limits in On-Policy Self-Distillation for LLM Reasoning
Sep 29, 2026Md. Ismail Hossain, Humaira Kousar, Isidora Chara TourniUnsupervised On-Policy Self-Distillation LLM Reasoning Strategies
North South University · KAIST · Andria Labs
A Proposed Rubric for Evaluating Expressed Clinical Reasoning in Large Language Model Responses
Sep 29, 2026Zhangshu Joshua Jiang, Zina Ibrahim, James T. TeoRubrics Task-Specific Rubrics
DRIVE-Health CDT Department of Biostatistics and Health Informatics Institute of Psychiatry, Psychology and Neuroscience King’s College London, London, UK · Neurological Institute, Cleveland Clinic London, London, UK · King’s College London, London, UK +1
Learning to Prove, Not Just to Answer: Reinforcement Learning from Formal Verification for Natural-Language Logical Reasoning
Sep 29, 2026Qili Zhang, Qianren Mao, Hanze Cai +11LLM Reasoning Strategies Reasoning Benchmark
Zhongguancun Laboratory · Beihang University · Nanyang Technological University +1
What Does Post-Training Change in Multilingual Reasoning?
Sep 29, 2026Hongyang Li, Xiao Li, Caesar Wu +2Multilingual Language Models LLM Reasoning Strategies
University of Luxembourg · Seafill Open-Source Community
ACTR: Aligning Thoughts and Responses for Multilingual Safety in Reasoning LLMs
Sep 29, 2026Xianhui Zhang, Jian Yu, Chengyu Xie +6Multilingual Safety Large Language Model Safety
Nanjing University of Science and Technology, Nanjing, China · National University of Singapore, Singapore · Beihang University, Beijing, China
Learning from Think-Mode Advantage via On-Policy Distillation
Sep 29, 2026Wanqi Ren, Jianxiang Wang, Danxuan Liu +2Efficient On-Policy Distillation LLM Reasoning Strategies
ByteDance, China
CoEM: Empowering Long-Context Reasoning with Commit-on-Evidence Memory
Sep 29, 2026Jingguang Li, Yebo Wu, Zuyi Guo +7Long-Context Reasoning LLM Reasoning Strategies
Korea Advanced Institute of Science & Technology · University of Macau · Massachusetts Institute of Technology
An RL View of OPD: Least Square Policy Distillation for Sample-Efficient LLM Reasoning
Sep 28, 2026Shangzhe Li, Yuxiao Yang, Tianrun Yu +4LLM Reasoning Strategies Offline Reinforcement Learning
University of North Carolina at Chapel Hill · Brigham Young University · NVIDIA
Frontier Learning: Training LLM Reasoners at the Edge of Capability
Sep 28, 2026Robin Faro, Shyam Sundhar Ramesh, Ilija Bogunovic +1LLM Reasoning Strategies Post-Training
University College London London, UK · University of Basel Basel, Switzerland
MemoReason: Evaluating the Effect of Parametric Memory on Contextual Reasoning in LLMs
Sep 28, 2026Zineddine Tighidet, Andrea Mogini, Jiali Mei +2LLM Reasoning Strategies Contextual Reasoning
BNP Paribas Paris, France · Sorbonne Université Paris, France · Criteo AI Lab
Rewarding Novel Deductions: Solver-guided Process Supervision for Logical Reasoning
Sep 28, 2026Muhammad Asif Ali, Wenqing Wang, Huan Wang +1LLM Reasoning Strategies Reasoning Benchmark
FORTE Lab, Faculty of Science, Information Technology University, Lahore, Pakistan · College of Informatics, Huazhong Agricultural University, Wuhan, China · Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar
RGDT-Bench: Benchmarking LLM Reasoning for Rule-Governed Decisions and Their Justifications
Sep 28, 2026Jianpeng Zhao, Haihua Xu, Haoyang Zhang +7Reasoning Benchmark LLM Reasoning Strategies
State Key Laboratory of Internet of Things for Smart City and Institute of Smart City Technologies, University of Macau, Macau SAR, China · ByteDance, Beijing, China
When Words Fall Short: Iterative Synergy Between Verbalized Reasoning and Hidden Features for LLM Confidence Estimation
Sep 28, 2026Yekun Xu, Ante Wang, Jingyi Ren +3Confidence Estimation Large Language Model Policy Optimization
College of AI, Tsinghua University, Beijing, China · Institute for AI Industry Research (AIR), Tsinghua University, Beijing, China · Dept. of Comp. Sci. & Tech., Institute for AI, Tsinghua University, Beijing, China
Direct Self-Evolving Optimization: Evolving LLMs without Challenger Training
Sep 28, 2026Yuyang Deng, Yu Wang, Jiayun WangOn-Policy Self-Evolution LLM Reasoning Strategies
Accenture, Center for Advanced AI · Georgia Institute of Technology
Learning to Optimize through Solver-Grounded Self-Play
Sep 28, 2026Xia Jiang, Yaoxin Wu, Chenyu Zhou +3Optimization Modeling Self-Play
Eindhoven University of Technology · Shanghai Jiaotong University
Surprising Success, Repeated Failure: Entropy-Guided Credit Assignment for Exploration in LLM Reasoning
Sep 27, 2026Woongyeong Yeo, Minki Kang, Chanuk Lee +3LLM Reasoning Strategies Credit Assignment
KAIST
Learning to Learn from Context: Synthetic Training from Perturbed Public Documents
Sep 27, 2026Haoyi Wu, Yang Xiao, Yusong Sun +4LLM Reasoning Strategies Contextual Reasoning
AllSpark Team
DISCO: Distributed Long Context Scaling with Grounding-Reasoning Disaggregation
Sep 27, 2026Guanzheng Chen, Viet Dac Lai, Subhojyoti Mukherjee +5Efficient Long-Context Inference LLM Reasoning Strategies
National University of Singapore · Adobe Research
Not Too Hard, Not Too Easy: Learning from Intermediate States for LLM Structured Reasoning
Sep 27, 2026Hongbo Chen, Guohua Lu, Ting Dang +1LLM Reasoning Strategies Intermediate States
University of Auckland, Auckland, New Zealand · University of Melbourne, Melbourne, Australia
SAGE: Mitigating Long-Horizon Reasoning Biases via Topological Guidance
Sep 24, 2026Xinyue Zeng, Jiawei Zhang, Yujun Yan +1LLM Reasoning Strategies Long-Horizon Task Planning
CS Department Virginia Tech · CS Department University of Wisconsin Madison · CS Department Dartmouth College
Prefilling the Reasoning Channel: Output-Prefix Attacks on Reasoning LLMs
Sep 24, 2026Lukáš Brůna, Robert Bridges, Adam EkLLM Reasoning Strategies Attacker Large Language Model
Uppsala University · AI Sweden
Can LLMs Reason About Runtime Behavior? A Repository-Level Dynamic Benchmark
Sep 23, 2026Hamed Taherkhani, Mohammad Abdollahi, Melika Sepidband +3Large Language Model Benchmarks LLM Reasoning Strategies
York University Toronto, Canada · The University of Texas at Dallas Texas, USA
DCRL: Decoupling and Coupling Reinforcement Learning via Policy-Reward Manifold Alignment
Sep 23, 2026Henan Sun, Zehua Li, Haitao Hu +4Large Language Model Reinforcement Learning Offline Reinforcement Learning
The Hong Kong University of Science and Technology (Guangzhou) · Huawei Noah’s Ark Lab · Tencent HY +1
LEGO: Synergizing Expert GraphRAG and Expert Chain-of-Thought for Legal Reasoning
Sep 22, 2026Qingjing Chen, Junkai Zhang, Shaochun Wang +7Legal Reasoning Tasks LLM Reasoning Strategies
Alma AI, University of Bologna, Italy · Tsinghua University, China · Modelbest Inc. +2
Beyond Repeated Sampling: Learning Search Policies for LLM Reasoning
Sep 22, 2026Ismail Labiad, Matthieu Kowalski, Marc Schoenauer +2LLM Reasoning Strategies Reasoning Skills
Meta FAIR · Université Paris-Saclay, LISN, Inria, CNRS · NYU Courant Institute and CDS
Semantic Abstraction for Natural Language Inference: a Methodological Framework for Discovering and Compensating Semantic Knowledge and Reasoning Gaps in Large Language Models
Sep 22, 2026David Torres-Moreno, Jorge Hermosillo-ValadezNatural Language Inference LLM Reasoning Strategies
Ladders of Thought: A Self-Evolving Curriculum of Progressively Simplified Reasoning Traces
Sep 22, 2026Minghui Liu, Thomas Magelinski, Dehao Yuan +2LLM Reasoning Strategies Thoughts
University of Maryland, College Park · Capital One
Rollout Efficiency in Reinforcement Learning for Reasoning Large Language Models: A Taxonomy and Future Directions
Sep 21, 2026Niloofar Gholipour, Marcos Assuncao, Gursimran Singh +8Large Language Model Reinforcement Learning Rollout
École de technologie supérieure, Univ. of Québec, Canada · Huawei Technologies, Canada · The Univ. of Melbourne, Australia +1
Fathom-Vaidya: Advancing Medical Reasoning with Rubric-Based Rewards
Sep 21, 2026Kalash Shah, Kunal Singh, Snehan J +1Clinical Reasoning Training LLM Reasoning Strategies
Fractal AI Research
PetriBench: Benchmarking LLM Reasoning over Dynamic State Spaces
Sep 17, 2026Pyrros Koussios, Benjamin Jäger, John Hua Yao +3Reasoning Benchmark LLM Reasoning Strategies
ETH Zürich · Stanford University
Voice of Reason: Reinforcement Learning for Spoken Math
Sep 16, 2026Timothée Weisselberger, Edouard Graves, Alexandre DéfossezSpeech Language Models Mathematical Reasoning Benchmarks
Kyutai Paris, France · Kyutai, Gradium Paris, France
STRETCH the Boundaries: A Unified Self-Taught Framework for Progressive LLM Evolution
Sep 16, 2026Yajie Yu, Mark Lee, Yue FengLLM Reasoning Strategies Evolutionary Optimization Methods
School of Computer Science University of Birmingham Birmingham United Kingdom
Attention Dispersion as a Diagnostic Signal for Hallucination in Large Language Models
Sep 16, 2026Shardul P. More, Tanuja S. PawarLarge Language Model Hallucination LLM Reasoning Strategies
Rajarambapu Institute of Technology Ishwarpur, Maharashtra, India
A Four-Stage Decomposition of Word-Problem Solving and Mechanistic Fragility in LLM Math Reasoning
Sep 15, 2026Zhongdi Qu, Carla P. GomesMath Problems LLM Reasoning Strategies
Cornell University

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PHRBench: A Behavioral Evaluation of Post-Hallucination Reasoning in LLMs

Linghao Meng, Feng He, Xuan Yang, Junyuan Mao+4

National University of Singapore · Independent Researcher · Tsinghua University+2

LLM Reasoning Strategies

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Hallucinated information can propagate through multi-stage LLM systems and become part of the context for subsequent reasoning. Existing studies of post-hallucination reasoning (PHR) mainly characterize changes in final outcomes and aggregate reasoning dynamics, leaving how models resolve hallucinated premises at the response level insufficiently understood. In this work, we introduce PHRBench, a controlled benchmark for behaviorally structured PHR across four domains and 18 large language models. PHRBench characterizes each reasoning trajectory independently of final-answer correctness through Hallucination Compliance, Hallucination Avoidance, and Heuristic Correction, and defines an insightful trajectory as successful correction that ultimately reaches the correct answer. Across 4820 controlled instances, we find that successful recovery remains relatively rare and is associated with more frequent belief updates along the reasoning trajectory. We further find that properties of the hallucinated prompt contain substantial predictive signal for successful recovery, with a lightweight predictor achieving an AUROC of 0.847. These findings provide a behavioral view of post-hallucination reasoning, characterizing how LLMs resolve erroneous context and when successful recovery is likely to occur.

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