Chain-Of-Thought Reasoning

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LLM Reasoning Methods

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Chain-Of-Thought

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Reasoning Chain

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CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical Reasoning
Apr 16, 2026Zhuo Wang, Zhuo Zhang, Yafu Li +3Mathematical Reasoning LLM Reasoning Methods
Chain-of-Glimpse: Search-Guided Progressive Object-Grounded Reasoning for Video Understanding
Apr 16, 2026Zhixuan Wu, Quanxing Zha, Teng Wang +6Video Understanding Audio-Grounded Reasoning
Analyzing Chain of Thought (CoT) Approaches in Control Flow Code Deobfuscation Tasks
Apr 16, 2026Seyedreza Mohseni, Sarvesh Baskar, Edward Raff +1Reverse Engineering Obfuscation
Targeted Exploration via Unified Entropy Control for Reinforcement Learning
Apr 16, 2026Chen Wang, Lai Wei, Yanzhi Zhang +5LLM Reasoning Methods Reasoning Trajectory
Dissecting Failure Dynamics in Large Language Model Reasoning
Apr 16, 2026Wei Zhu, Jian Zhang, Lixing Yu +2LLM Reasoning Methods Reasoning Trajectory
Quantifying Cross-Query Contradictions in Multi-Query LLM Reasoning
Apr 16, 2026Rohit Kumar Salla, Ramya Manasa Amancherla, Manoj SaravananLLM Reasoning Methods Satisfiability
On the Expressive Power and Limitations of Multi-Layer SSMs
Apr 16, 2026Nikola Zubić, Qian Li, Yuyi Wang +1State Space Models Multilayer Perceptrons
Peer-Predictive Self-Training for Language Model Reasoning
Apr 14, 2026Shi Feng, Hanlin Zhang, Fan Nie +2LLM Reasoning Methods Cross-Model Consistency
Filtered Reasoning Score: Evaluating Reasoning Quality on a Model's Most-Confident Traces
Apr 13, 2026Manas Pathak, Xingyao Chen, Shuozhe Li +2Reasoning Benchmark
A Progressive Training Strategy for Embodied Vision-Language Models to Mitigate Spatio-Temporal Hallucinations
Apr 12, 2026Xiaoda Yang, Shuai Yang, Can Wang +9Hallucination Problem Spatiotemporal
Decompose, Look, and Reason: Reinforced Latent Reasoning for VLMs
Apr 8, 2026Mengdan Zhu, Senhao Cheng, Liang ZhaoVisual Reasoning Latent Reasoning
Council Mode: A Heterogeneous Multi-Agent Consensus Framework for Reducing LLM Hallucination and Bias
Apr 3, 2026Shuai Wu, Xue Li, Yanna Feng +3Large Language Model Reliability Multi-Agent Large Language Model Systems
How LLMs Might Think
Apr 2, 2026Joseph Gottlieb, Ethan Kemp, Matthew TragerLLM Reasoning Methods Thinking
Apriel-Reasoner: RL Post-Training for General-Purpose and Efficient Reasoning
Apr 2, 2026Rafael Pardinas, Ehsan Kamalloo, David Vazquez +1Large Reasoning Models Inference Cost
Internalized Reasoning for Long-Context Visual Document Understanding
Mar 31, 2026Austin VeselkaVisual Document Retrieval LLM Reasoning Methods
Beyond Memorization: Distinguishing Between Pattern-Based and Epistemic Reasoning in LLMs Using Epistemic Puzzles
Mar 22, 2026Adi Gabay, Gabriel Stanovsky, Liat PeterfreundLLM Reasoning Methods Epistemic States
Grounded Chess Reasoning in Language Models via Master Distillation
Mar 20, 2026Zhenwei Tang, Qianfeng Wen, Seth Grief-Albert +4Chess Chain-Of-Thought
PA3: Policy-Aware Agent Alignment through Chain-of-Thought
Mar 15, 2026Shubhashis Roy Dipta, Daniel Bis, Kun Zhou +4Chain-Of-Thought Chatbots
RetroReasoner: A Reasoning LLM for Strategic Retrosynthesis Prediction
Mar 13, 2026Hanbum Ko, Chanhui Lee, Ye Rin Kim +4Synthesis LLM Reasoning Methods
HEAL: Hindsight Entropy-Assisted Learning for Reasoning Distillation
Mar 11, 2026Wenjing Zhang, Jiangze Yan, Jieyun Huang +7Recursive Reasoner Hindsight
Learning When to Sample: Confidence-Aware Selective Sampling for Efficient Chain-of-Thought Reasoning
Mar 9, 2026Juming Xiong, Kevin Guo, Congning Ni +7LLM Reasoning Methods Chain-Of-Thought
What if? Emulative Simulation with World Models for Situated Reasoning
Mar 6, 2026Ruiping Liu, Yufan Chen, Yuheng Zhang +8Imagination Spatial Reasoning
CRISP: Compressed Reasoning via Iterative Self-Policy Distillation
Mar 5, 2026Hejian Sang, Yuanda Xu, Zhengze Zhou +3Large Reasoning Models Unsupervised On-Policy Self-Distillation
Verify to Amplify: Improving Reasoning via Learned Chain-of-Thought Verification
Mar 3, 2026Maria-Florina Balcan, Avrim Blum, Kiriaki Fragkia +2Chain-Of-Thought Verification
Step-Level Sparse Autoencoder for Reasoning Process Interpretation
Mar 3, 2026Xuan Yang, Jiayu Liu, Yuhang Lai +3LLM Reasoning Methods Improving Sparse Autoencoders
Recursive Models for Long-Horizon Reasoning
Mar 2, 2026Chenxiao Yang, Nathan Srebro, Zhiyuan LiRecursion LLM Reasoning Methods
EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models
Feb 27, 2026Yiyang Fang, Wenke Huang, Pei Fu +5Emotion Recognition LLM Reasoning Methods
Bridging Latent Reasoning and Target-Language Generation via Retrieval-Transition Heads
Feb 25, 2026Shaswat Patel, Vishvesh Trivedi, Yue Han +2Multilingual Language Models Latent Reasoning
HEARTS: Benchmarking LLM Reasoning on Health Time Series
Feb 25, 2026Sirui Li, Shuhan Xiao, Mihir Joshi +4Large Language Model Benchmarks LLM Reasoning Methods
CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching
Feb 23, 2026Yuzhe Wang, Yaochen Zhu, Jundong LiLLM Reasoning Methods Causal Structure and Reasoning
Adaptive Time Series Reasoning via Segment Selection
Feb 20, 2026Shvat Messica, Jiawen Zhang, Kevin Li +2Time Series Large Reasoning Models
Ontology-Guided Neuro-Symbolic Inference: Grounding Language Models with Mathematical Domain Knowledge
Feb 19, 2026Marcelo LabreLLM Reasoning Methods Ontology
Measuring and Mitigating Post-hoc Rationalization in Reverse Chain-of-Thought Generation
Feb 16, 2026Guangyue Peng, Zongchao Chen, Wen Luo +9Chain-Of-Thought Reasoning Benchmark
LaViDa-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models
Feb 15, 2026Shufan Li, Yuchen Zhu, Jiuxiang Gu +6Diffusion Language Models LLM Reasoning Methods
NEST: Nascent Encoded Steganographic Thoughts
Feb 15, 2026Artem KarpovImage Steganalysis Chain-Of-Thought
Mitigating the Safety-utility Trade-off in LLM Alignment via Adaptive Safe Context Learning
Feb 14, 2026Yanbo Wang, Minzheng Wang, Jian Liang +3Safety Alignment Large Language Model Alignment
Think Deep, Not Just Long: Measuring LLM Reasoning Effort via Deep-Thinking Tokens
Feb 13, 2026Wei-Lin Chen, Liqian Peng, Tian Tan +5LLM Reasoning Methods Large Reasoning Models
To Mix or To Merge: Toward Multi-Domain Reinforcement Learning for Large Language Models
Feb 13, 2026Haoqing Wang, Xiang Long, Ziheng Li +3Verifiable Rewards LLM Reasoning Methods
Neuro-Symbolic Synergy for World Modeling
Feb 11, 2026Hongyu Zhao, Siyu Zhou, Haolin Yang +2Llm-Synthesized Code World Models LLM Reasoning Methods
Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge
Feb 10, 2026Wei Yang, Shixuan Li, Heng Ping +3Multi-Agent Reasoning Consensus
Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation
Feb 10, 2026Pei-Chi Pan, Yingbin Liang, Sen LinLLM Reasoning Methods Reward Functions
rePIRL: Learn PRM with Inverse RL for LLM Reasoning
Feb 8, 2026Xian Wu, Kaijie Zhu, Ying Zhang +2Process Reward Modeling LLM Reasoning Methods
The Hidden Cost of Structured Generation in LLMs: Draft-Conditioned Constrained Decoding
Feb 8, 2026Avinash Reddy, Thayne T. Walker, James S. Ide +1Constrained Decoding Strategies Answer Generation
GR2: Generative Reasoning Re-ranker
Feb 8, 2026Mingfu Liang, Yufei Li, Jay Xu +20Generative Reasoning Re-Rankers Cross-Encoder Reranker
Joint Reward Modeling: Internalizing Chain-of-Thought for Efficient Visual Reward Models
Feb 7, 2026Yankai Yang, Yancheng Long, Hongyang Wei +12External Reward Models Large Reasoning Models
BRIDGE: Bridging Reasoning In Distillation Gap Elimination via Structure-Aware Masking
Feb 5, 2026Bowen Yu, Sheng Zhang, Binhao Wang +8Curriculum Chain-Of-Thought
CoT is Not the Chain of Truth: An Empirical Internal Analysis of Reasoning LLMs for Fake News Generation
Feb 4, 2026Zhao Tong, Chunlin Gong, Yiping Zhang +5Large Language Model Safety LLM Reasoning Methods
Chain-of-Goals Hierarchical Policy for Long-Horizon Offline Goal-Conditioned RL
Feb 3, 2026Jinwoo Choi, Sang-Hyun Lee, Seung-Woo SeoGoal-Conditioned Reinforcement Learning Long-Horizon
MAS-ProVe: Understanding the Process Verification of Multi-Agent Systems
Feb 3, 2026Vishal Venkataramani, Haizhou Shi, Zixuan Ke +6Decentralized Multi-Agent System Verification
Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models
Feb 2, 2026Hao Wang, Hao Gu, Hongming Piao +6Supervised Fine-Tuning Large Reasoning Models
ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure
Feb 1, 2026Jie Deng, Shining Liang, Jun Li +2Large Reasoning Models Reasoning Traces
What If We Allocate Test-Time Compute Adaptively?
Feb 1, 2026Ahsan Bilal, Ahmed Mohsin, Muhammad Umer +4Test-Time Scaling Context Allocation
Thinking Seeds: Leveraging Historical Diversity for Position-Aware RL in LLMs
Jan 29, 2026Lei Yang, Wei Bi, Chenxi Sun +2Large Language Model Post-Training LLM Reasoning Methods
Policy of Thoughts: Scaling Test-Time Training for LLM Reasoning via Online Policy Evolution
Jan 28, 2026Zhengbo Jiao, Hongyu Xian, Qinglong Wang +5LLM Reasoning Methods Test-Time Adaptation
LLMs versus the Halting Problem: Characterizing Program Termination Reasoning
Jan 26, 2026Oren Sultan, Jordi Armengol-Estape, Pascal Kesseli +4Formal Verification LLM Reasoning Methods
YuFeng-XGuard: A Reasoning-Centric, Interpretable, and Flexible Guardrail Model for Large Language Models
Jan 22, 2026Junyu Lin, Meizhen Liu, Xiufeng Huang +12Large Language Model Safety Guardrail
R $^2$ PO: Decoupling Rollout and Inference Policies for LLM ReasoningR^2PO: Decoupling Rollout and Inference Policies for LLM Reasoning
Jan 17, 2026Jingchu Wang, Bingbing Xu, Yige Yuan +4LLM Reasoning Methods Reinforcement Learning Rollouts
Spurious Rewards Paradox: Mechanistically Understanding How RLVR Activates Memorization Shortcuts in LLMs
Jan 16, 2026Lecheng Yan, Ruizhe Li, Guanhua Chen +5Verifiable Rewards LLM Reasoning Methods
Programming over Thinking: Efficient and Robust Multi-Constraint Planning
Jan 14, 2026Derrick Goh Xin Deik, Quanyu Long, Zhengyuan Liu +2Large Language Model Planning Classical Planning
M3CoTBench: Benchmark Chain-of-Thought of MLLMs in Medical Image Understanding
Jan 13, 2026Juntao Jiang, Jiangning Zhang, Yali Bi +7Medical Visual Question Answering Diagnostic Benchmark

Apr 16, 2026 · cs.AIJ/K move · Enter open · S save

CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical Reasoning

Zhuo Wang, Zhuo Zhang, Yafu Li, Yu Cheng+2

1Fudan University · 5Independent Researcher · 3The Chinese University of Hong Kong · 2Shanghai Innovation Institute · 4Monash University

Large Language Models (LLMs) exhibit strong mathematical reasoning when trained on high-quality Chain-of-Thought (CoT) that articulates intermediate steps, yet costly CoT curation hinders further progress. While existing remedies such as distillation from stronger LLMs and self-synthesis based on test-time search alleviate this issue, they often suffer from diminishing returns or high computing overhead.In this work, we propose CoTEvol, a genetic evolutionary framework that casts CoT generation as a population-based search over reasoning trajectories.Candidate trajectories are iteratively evolved through reflective global crossover at the trajectory level and local mutation guided by uncertainty at the step level, enabling holistic recombination and fine-grained refinement. Lightweight, task-aware fitness functions are designed to guide the evolutionary process toward accurate and diverse reasoning. Empirically, CoTEvol improves correct-CoT synthesis success by over 30% and enhances structural diversity, with markedly improved efficiency. LLMs trained on these evolutionary CoT data achieve an average gain of 6.6% across eight math benchmarks, outperforming previous distillation and self-synthesis approaches. These results underscore the promise of evolutionary CoT synthesis as a scalable and effective method for mathematical reasoning tasks.

Mathematical Reasoning LLM Reasoning Methods Chain-Of-Thought Evolution Synthesis

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