Chain-Of-Thought Reasoning

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LLM Reasoning Methods

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Chain-Of-Thought

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Large Reasoning Models

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Reasoning Benchmark

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Reasoning Traces

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Thinking

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Reasoning Trajectory

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Reasoning Chain

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Reasoning Paths

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Recursive Reasoner

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Beyond Polarization: The Generative Constraint of Chain-of-Thought in Pointwise Reranking
Aug 31, 2026Xiaoyang Chen, Jie Liu, Haijin Liang +5Score Function Bias Detection and Mitigation
When LLM Meets Tree Search: A Systematic View of Inference as Search in Large Language Models
Aug 31, 2026Jiaqi Wei, Xiang Zhang, Yuejin Yang +10Tree Search LLM Reasoning Methods
Answer Probing-Guided Search for Diverse Solution Exploration of LLMs
Aug 31, 2026Yi Fang, Que Shen, Chengpeng Li +6LLM Reasoning Methods Reasoning Paths
Stratified Consistency Distillation for Natural Language Formalization
Aug 31, 2026Zhichao Hou, Ferhat Erata, Joe Lilien +1LLM Reasoning Methods Natural Language
Beyond Surface Forms: Symbolic Edits as a Test for Logical Reasoning with LLMs
Aug 31, 2026Ramya Keerthy Thatikonda, Wray Buntine, Ehsan ShareghiLLM Reasoning Methods Logical Connectives
Generating Workflow DAGs from Natural Language with Non-Reasoning LLMs
Aug 31, 2026Anand Iyer, Bhanu Khetharpal, Srinivas Upadhya +1Reasoning Graphs Directed Acyclic Graph
Quantifying and Mitigating Korean Jamo-Level Typographical Vulnerabilities in Large Language Models
Aug 31, 2026Seojin Lee, Hwanhee LeeGrammatical Error Correction Korean
The Differential Reasoning Router: Operationalizing Cost-Aware LLM Annotation in E-commerce
Aug 31, 2026Cheng Lyu, Jingyue Zhang, Vinny DeGenova +2LLM Reasoning Methods Large Language Model Routing
COGTRL: Training LLMs for Scientific Discovery Assistance using Cognitive Traces via Reinforcement Learning
Aug 31, 2026Shrinidhi Kumbhar Santosh Mashetty Divij Handa Kevin Coutinho, Siddharth Sambhaji Ghule, Chitta BaralScientific Discovery LLM Reasoning Methods
AutoCRAT: Within-trajectory Joint Control of Stochasticity and Compute for LLM Reasoning
Aug 30, 2026Hanjun Luo, Qiushi Liu, Jingya Zhang +8LLM Reasoning Methods Autoregressive Language Models
Detecting Hidden Chain-of-Thought in Large Language Models with Linguistic, Behavioral, and Mechanistic Indicators
Aug 30, 2026Armaan Singh, Ryan Trinh Le, Jasmine Kaur +5LLM Reasoning Methods Latent Reasoning
EVAR: Evidence-Validated Hypothesis Admission for Budget-Aware Narrative Reasoning
Aug 30, 2026Peilin Liu, Zhiquan Ji, Jinglong PingEvidence-Grounded Reasoning LLM Reasoning Methods
ReTrace: Rejected-Trajectory Conditioning for Speculative Decoding
Aug 30, 2026Luxi Lin, Zhanpeng Zeng, Shuang Peng +2Speculative Decoding Autoregressive Language Models
MI-Distillation: Selecting from Model-Interpolated Instruct-Reasoning Data Spectrum for Chain-of-Thought Distillation
Aug 30, 2026Yangsong Lan, Renkai Hu, HongKai Zheng +4Large Reasoning Models Dataset Distillation
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 Faithfulness Large Reasoning Models
SPEAR: Distilling Domain-Adaptive Reasoning Skeletons via Sequential Symbolic Alignment in Reinforcement Learning
Aug 27, 2026Zhuochun Li, Yuelyu Ji, Yiming Zeng +1Process Reward Modeling Recursive Reasoner
SKILL.state: Scalable Long-Horizon Agent Skills
Aug 26, 2026Sanket Badhe, Priyanka Tiwari, Jonghyun ChungAgent Skill Libraries Reasoning Traces
SPADE: Self-Play in Adaptive Synthetic Executable Environments
Aug 19, 2026Bo Liu, Simon Yu, Yiding Jiang +15Self-Play Llm-Driven Code Synthesis
HarnessEval-W: Agentifying the Evaluation of Visual Worlds
Aug 17, 2026Weiliang Chen, Haowen Sun, Jun Gao +40Reasoning Chain
A Unifying Perspective on Causal World Models: From Observations to Representations to Structure
Aug 13, 2026Avinash Kori, Fabrizio RussoWorld Models Large Reasoning Models
Enhancing Virtual Agents through SLMs and Edge-Computing: An Exploratory Evaluation of Think and Memory Processes
Aug 13, 2026Aimilios Hadjiliasi, Louis NisiotisEmbodied Artificial Intelligence Agent Memory
Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services
Aug 13, 2026Ahmet Bugra Gundogan, Yigit Turkmen, Melih BastopcuLLM Reasoning Methods Token-Level Uncertainty
Reasoning for Social Audio-Visual Question Answering: Where Do We Stand?
Aug 13, 2026Koen P. de Vries, Xavier Alameda-Pineda, Estefanía Talavera +1Audio-Visual Reasoning Social Media
TsuGO: Probing Search Efficiency in LLM Reasoning via Go Life-and-Death Problems
Aug 13, 2026Shunwen Bai, Ziping Ma, Chaoyang Zhang +4LLM Reasoning Methods Reasoning Benchmark
Towards Physics-Faithful Generation of Scientific Diagrams
Aug 13, 2026Minghui Zhang, Jinxin Shi, Yifan Chang +12Diagrams Scientific Discovery
LycheeMemory V2: Efficient Long-Term Memory for LLM Agents via Semantic Segment-Level Consolidation
Aug 13, 2026Dongfang Li, Zixuan Liu, Junmai Wang +5Biological Memory Large Language Model Agents
LLMs Are Not Good Strategists, Yet Memory-Enhanced Agency Boosts Reasoning
Aug 12, 2026Yi Wu, Zhimin HuLong-Horizon Agents Long-Horizon
Reasoning Jury: Multi-Model Consensus for Evaluating Reasoning Traces
Aug 12, 2026Congchao Wang, Diwakar Singh, Qiaozi Gao +3Reasoning Traces Judges
VAKRA: Evaluating Multi-Hop Reasoning Across APIs and Retrieval Under Tool-Use Policies
Aug 12, 2026Ankita Rajaram Naik, Anupama Murthi, Benjamin Elder +6Agentic Benchmarks Reasoning Benchmark
SCOUT: Unlocking Enhanced Spatial Reasoning via Structured Chain-of-Thought and Multi-Objective Process Reward
Aug 12, 2026Zile Zhou, Huining Yuan, Weichen Zhang +23D Spatial Reasoning Spatial Reasoning
Who Thinks Best Depends on How Long You Let Them: Budget-Dependent Rankings in LLM Evaluation
Aug 12, 2026Rodrigo Guedes de Souza, Alison R. PanissonLarge Language Model Evaluation Reasoning Benchmark
Do LLMs Take Care of Their Own? Similarity Signals Can Induce Cooperation
Aug 12, 2026Akash Kundu, Emanuel Tewolde, Ratip Emin Berker +2Cooperation Game-Theoretic Framework
Chain-of-Thought Shows the Path to a Tree: Realizing Branching Complexity
Aug 12, 2026Debanjan Dutta, Anish Chakrabarty, Swagatam DasBreadth-First Search Chain-Of-Thought
V-FiLLM: Verified Financial LLM Reasoning Benchmark
Aug 11, 2026Alicia Larsen, Victoire Laurent, Aulia Kharis Rakhamsari +2Finance Benchmarks Reasoning Benchmark
XCoT-VLA: Executable Chain-of-Thought for Vision-Language-Action Driving
Aug 11, 2026Foundation Model Team, XPeng IncVision-Language-Action Autonomous Driving
MUSE: A Full-Text Cross-Domain Knowledge Base of Scientific Problems, Solutions, and Rationales
Aug 11, 2026Tsofia Cohen, Tom HopeScientific Discovery Solutions
REAP: Relation-Aware Elicitation and Parsing for Closed-Book Knowledge Base Construction from LLMs
Aug 11, 2026Thanh-Dan Bui, Thanh-Trung Do, Tuan-Phong NguyenRelation Extraction Construction
ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling
Aug 11, 2026Vaibhav Singh, Soumya Suvra Ghosal, Sarvesh Gharat +3Test-Time Scaling Large Reasoning Models
FaithformBench: Benchmarking Faithfulness of Mathematical Chain-of-Thought Autoformalisation
Aug 11, 2026Rob Cornish, Iacopo Ghinassi, Po-Hung Yeh +7Autoformalization Explanation Faithfulness
Tree-of-Ideas: Automated Research Ideation via Cross-Trajectory Reasoning over Scholarly Evolution
Aug 11, 2026Xun Li, Yiying Yang, Pengtao Li +8Scientific Ideation Autoresearch
From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning
Aug 10, 2026Han Zhang, Yilin Zhao, Zaid Pervaiz Bhat +5Video Anomaly Detection Video-Language Models
REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting
Aug 10, 2026Xu Zhang, Chang Xu, Hui Sun +5Time Series Forecasting Ensemble
BDH-CQ: In-Context Learning with Recurrent Latent Reasoning
Aug 10, 2026Björn Engdahl, Adrian Kosowski, Jan Chorowski +6Large Reasoning Models In-Context Learning
Stealing Reasoning Traces from Proprietary LLM APIs
Aug 10, 2026Alexander Panfilov, David Schmotz, Ilia Shumailov +5LLM Reasoning Methods Reasoning Traces
Agentic Harnesses: LLM-Driven Verification Layers for Robot Autonomy
Aug 10, 2026Rohan Bhagra, Mahantesh Halapannavar, Uddhav BhattaraiLarge Language Model Planning Real-Robot Experiments
CircuitReason-1k: Benchmarking Long-Horizon Visual-to-Symbolic Reasoning inElectrical Circuits
Aug 10, 2026Xinqi Yang, Kang An, Tengyue Wang +8Circuits Visual Reasoning
Beyond Solvability: Task Learnability as a Static Prior for LLM RL Post-Training
Aug 10, 2026Ting Zhou, Zhenqing Ling, Daoyuan Chen +4Reinforcement Learning Post-Training Reasoning Benchmark
Social Gym and SPaRTan: Benchmarking and Improving LLM Social Reasoning via Multi-Agent Game Tournaments
Aug 10, 2026Keyu He, Xuhui Zhou, Maarten SapSelf-Play Footsiesgym
Tree-of-Experience: Hierarchical Experience Management for Self-Evolving Agents
Aug 10, 2026Zihao Deng, Yining Zhu, Leiming Wang +6Self-Evolving Agents Self-Evolution
LLM Reasoning for Subjective Tasks: Failure Modes, Mitigation, and Dynamic Reasoning Routing
Aug 9, 2026Juncheng Dong, Ding Tong, Ishan Gupta +1LLM Reasoning Methods Verification
SymDiag: Explainable Diagnosis for LLM Reasoning via Neuro-Symbolic Verification
Aug 9, 2026Wenyao Cui, Huaping Zhang, Yongyi Huang +6LLM Reasoning Methods Verification
Reproducing and Stress-Testing Two Approaches to LLM Reasoning Reliability: Test-Time Probability Aggregation and Logic-Representation Editing
Aug 9, 2026Minhan Cho, Jimin KweonLLM Reasoning Methods Reliability
Calling the Bluff: Detecting Ever-Shifting Harmful Chat Dialogue via Ordered Reasoning Chain Regularization
Aug 9, 2026Haojie Yu, Ziyou Jiang, Junjie Wang +4Harmful Content Large Language Model Safety
Hidden Language Consistency Phenomena in Reasoning LLMs
Aug 9, 2026Muhammad Ali Shafique, Kelly MarchisioLLM Reasoning Methods Indic Languages
Matching Supervision to the Student's Learning Capacity: A Unified Framework for On-Policy Self-Distillation
Aug 8, 2026Yongkang Yang, Zhezheng Hao, Hong Zhang +8Unsupervised On-Policy Self-Distillation Self-Distillation
Thinking vs. NoThinking: Towards Interpreting Reasoning Mechanisms of Large Language Models via Sparse Autoencoders
Aug 8, 2026Bo Cheng, Qiaolin Lu, Yi Chang +1Thinking Sparse Autoencoders
Thought-Level Beam Search for Reasoning
Aug 8, 2026Lijie Yang, Hongyin Luo, Jiawei Zhao +2Large Reasoning Models Test Time
Thinking Hard, Not Smart: Reasoning Models Fail to Ration Test-Time Compute Across Questions
Aug 8, 2026Chenrui Fan, Yize Cheng, Ming Li +3Large Reasoning Models Test Time
SCOUT: Self-Checking and Recovery-Aware Tool-Thought Agents for Ultra-Long Egocentric Video Reasoning
Aug 8, 2026Keyang Zhong, Kuo Wang, Peng Liu +5Agentic Video Generation Long-Horizon Agents
REIN: Bridging the Gap between Reasoning and Reliability via Reflection and Abstention Alignment
Aug 8, 2026Zhengze Huang, Luyang Yu, Di Hong +5Large Reasoning Models Large Language Model Hallucination

Aug 31, 2026 · cs.CLJ/K move · Enter open · S save

Beyond Polarization: The Generative Constraint of Chain-of-Thought in Pointwise Reranking

Xiaoyang Chen, Jie Liu, Haijin Liang, Haibo Shi+4

University of Chinese Academy of Sciences · Tencent · University of Chinese Academy of Sciences, 2Chinese Information Processing Laboratory, Institute of Software, Chinese Academy of Sciences

In pointwise document reranking, Chain-of-Thought models typically underperform direct scoring models. While existing diagnostics attribute this to inferior classification, score polarization, or calibration breakdown, whether targeted training can bridge this gap remains unclear. Our empirical study first confirms that this gap is stable across scales up to 32B parameters, ruling out model and data capacity confounders. We then apply stress tests utilizing reinforcement learning, fine-grained supervision, and architectural decoupling to explicitly repair these deviations. Although these interventions improve classification accuracy and absolute scores, the relative ranking gap persists. These findings suggest that, within the pointwise scoring paradigm, routing continuous relevance semantics through discrete text constrains ranking signal resolution, revealing a bottleneck that is stable and difficult to overcome under current standard methods, rather than an easily resolvable training bias.

Score Function Bias Detection and Mitigation Chain-Of-Thought Ideology

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