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 Chain

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Reasoning Paths

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Recursive Reasoner

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Improving LLM Reasoning with Homophily-aware Structural and Semantic Text-Attributed Graph Compression
Jan 13, 2026Zijun Di, Bin Lu, Huquan Kang +5Text-Attributed Graph LLM Reasoning Methods
Triggering Chain-of-Thought via Latent Feature Interventions in Large Language Models
Jan 12, 2026Zhenghao He, Guangzhi Xiong, Bohan Liu +2LLM Reasoning Methods Latent Reasoning
DAGGER: Distractor-Aware Graph Generation for Executable Reasoning in Math Problems
Jan 11, 2026Zabir Al Nazi, Shubhashis Roy Dipta, Sudipta KarMathematical Reasoning Math Problems
Do Language Models Reason Across Languages?
Jan 10, 2026Yan Meng, Wafaa Mohammed, Christof MonzMultilingual Language Models LLM Reasoning Methods
EpiQAL: Benchmarking Large Language Models in Epidemiological Question Answering and Reasoning
Jan 6, 2026Mingyang Wei, Dehai Min, Zewen Liu +8Epidemic Forecasting Diagnostic Benchmark
Metaphors are a Source of Cross-Domain Misalignment of Large Reasoning Models
Jan 6, 2026Zhibo Hu, Chen Wang, Yanfeng Shu +2Large Reasoning Models Metaphors
Alpha-R1: Alpha Screening with LLM Reasoning via Reinforcement Learning
Dec 29, 2025Zuoyou Jiang, Li Zhao, Rui Sun +6LLM Reasoning Methods Screening
Distilling the Essence: Efficient Reasoning Distillation via Sequence Truncation
Dec 24, 2025Wei-Rui Chen, Vignesh Kothapalli, Ata Fatahibaarzi +5Large Reasoning Models Recursive Reasoner
Step-Tagging: Toward controlling the generation of Language Reasoning Models through step monitoring
Dec 16, 2025Yannis Belkhiter, Seshu Tirupathi, Giulio Zizzo +1Large Reasoning Models Protein Language Model
KBQA-R1: Reinforcing Large Language Models for Knowledge Base Question Answering
Dec 10, 2025Xin Sun, Zhongqi Chen, Xing Zheng +6LLM Reasoning Methods Knowledge Graphs
Latency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length
Dec 7, 2025Zhiyu Xu, Jia Liu, Yixin Wang +1Item Response Theory Large Language Model Evaluation
Multilingual Medical Reasoning for Question Answering with Large Language Models
Dec 5, 2025Pietro Ferrazzi, Aitor Soroa, Rodrigo AgerriMedical Question Answering Multilingual Financial Question Answering
See, Think, Learn: A Self-Taught Multimodal Reasoner
Dec 2, 2025Sourabh Sharma, Sonam Gupta, SadbhawnaMultimodal Reasoning Chain-Of-Thought
Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning
Nov 30, 2025Dongyue Li, Zhenshuo Zhang, Minxuan Duan +2Graph Neural Networks Algorithmic Reasoning
ORCA: Open-ended Response Correctness Assessment for Audio Question Answering
Nov 28, 2025Šimon Sedláček, Sara Barahona, Bolaji Yusuf +9Large Audio Language Models Automatic Speech Recognition Evaluation
ThreadWeaver: Adaptive Threading for Efficient Parallel Reasoning in Language Models
Nov 24, 2025Long Lian, Sida Wang, Felix Juefei-Xu +7LLM Reasoning Methods LLM Inference Efficiency
VisReason: A Large-Scale Dataset for Visual Chain-of-Thought Reasoning
Nov 21, 2025Lingxiao Li, Yifan Wang, Xinyan Gao +3LLM Reasoning Methods Chain-Of-Thought
Optimal Self-Consistency for Efficient Reasoning with Large Language Models
Nov 15, 2025Austin Feng, Marius Alonso, Ambroise Odonnat +2Inference-Time Chain-Of-Thought
Enabling Agents to Communicate Entirely in Latent Space
Nov 12, 2025Zhuoyun Du, Runze Wang, Huiyu Bai +6Latent Reasoning Latent Space
Evaluating Implicit Biases in LLM Reasoning through Logic Grid Puzzles
Nov 8, 2025Fatima Jahara, Mark Dredze, Sharon LevyLarge Language Model Bias LLM Reasoning Methods
Reinforcement Learning Improves Traversal of Parametric Knowledge in LLMs
Nov 8, 2025Renfei Zhang, Manasa Kaniselvan, Rylan Schaeffer abd Niloofar MireshghallahLLM Reasoning Methods Breadth-First Search
CoT-X: An Adaptive Framework for Cross-Model Chain-of-Thought Transfer and Optimization
Nov 7, 2025Ziqian Bi, Yinzhi Wang, Tianyang Wang +6Chain-Of-Thought
MultiZebraLogic: A Multilingual Logical Reasoning Benchmark
Nov 5, 2025Sofie Helene Bruun, Dan Saattrup SmartReasoning Benchmark Puzzle
Optimal-Agent-Selection: State-Aware Routing Framework for Efficient Multi-Agent Collaboration
Nov 4, 2025Jingbo Wang, Sendong Zhao, Haochun Wang +2End-To-End Agentic System Collaboration
Multi-Step Knowledge Interaction Analysis via Rank-2 Subspace Disentanglement
Nov 3, 2025Sekh Mainul Islam, Pepa Atanasova, Isabelle AugensteinLLM Reasoning Methods Contextual Grounding
PreferThinker: Reasoning-based Personalized Image Preference Assessment
Nov 1, 2025Shengqi Xu, Xinpeng Zhou, Yabo Zhang +6Pairwise Preferences Image-Caption Pairs
Scaling Latent Reasoning via Looped Language Models
Oct 29, 2025Rui-Jie Zhu, Zixuan Wang, Kai Hua +30LLM Reasoning Methods Latent Reasoning
Learning to Reason Efficiently with Discounted Reinforcement Learning
Oct 27, 2025Alex Ayoub, Kavosh Asadi, Dale Schuurmans +2Large Reasoning Models Optimality
RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for Large Language Models
Oct 22, 2025Yang Yang, Hua XU, Zhangyi Hu +1Inductive Logic Programming LLM Reasoning Methods
A Model Can Help Itself: Reward-Free Self-Training for LLM Reasoning
Oct 21, 2025Mengqi Li, Lei Zhao, Anthony Man-Cho So +2LLM Reasoning Methods Mathematical Reasoning Benchmarks
HugAgent: A Human Simulation Benchmark for Individual-Level Reasoning
Oct 16, 2025Chance Jiajie Li, Zhenze Mo, Yuhan Tang +11Agentic Reasoning Reasoning Benchmark
Benefits and Limitations of Communication in Multi-Agent Reasoning
Oct 14, 2025Michael Rizvi-Martel, Satwik Bhattamishra, Neil Rathi +2Multi-Agent Reasoning Multi-Hop Reasoning
Refine Thought: A Test-Time Inference Method for Embedding Model Reasoning
Oct 14, 2025Guangzhi Wang, Kai Li, Yinghao Jiao +1Large Reasoning Models Semantic Reasoning
LiveOIBench: Can Large Language Models Outperform Human Contestants in Informatics Olympiads?
Oct 10, 2025Kaijian Zou, Aaron Xiong, Yunxiang Zhang +6Olympiad-Level Problem Large Language Model Benchmarks
Don't Tell the Answer, Truly Guide the Reasoning During RL Rollouts
Oct 10, 2025Xinyi Wang, Jinyi Han, Zishang Jiang +7LLM Reasoning Methods Guidance
Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization
Oct 9, 2025Yuchen Zhu, Wei Guo, Jaemoo Choi +4Diffusion Language Models LLM Reasoning Methods
Base Models Know How to Reason, Thinking Models Learn When
Oct 8, 2025Constantin Venhoff, Iván Arcuschin, Philip Torr +2Large Reasoning Models Reinforcement Learning Base-To-Thinking Gap
Selective Expert Guidance for Effective and Diverse Exploration in Reinforcement Learning of LLMs
Oct 5, 2025Zishang Jiang, Jinyi Han, Tingyun Li +7Verifiable Rewards LLM Reasoning Methods
Rethinking Reward Models for Multi-Domain Test-Time Scaling
Oct 1, 2025Dong Bok Lee, Seanie Lee, Sangwoo Park +12Test-Time Scaling Reasoning Trajectory
Interactive Learning for LLM Reasoning
Sep 30, 2025Hehai Lin, Shilei Cao, Sudong Wang +5LLM Reasoning Methods Interactive Learning
Stop Before You Fail: Operational Capability Boundaries for Mitigating Unproductive Reasoning in Large Reasoning Models
Sep 29, 2025Qingjie Zhang, Yujia Fu, Yang Wang +5Large Reasoning Models Early Failure Prediction
Unveiling the Mechanisms of Multi-Hop Reasoning in Transformers via Identity Bridge
Sep 29, 2025Pengxiao Lin, Zheng-An Chen, Zhi-Qin John XuLLM Reasoning Methods Multi-Hop Reasoning
Scale or Reason? A Compute-Equivalent Analysis of Reasoning Distillation
Sep 26, 2025Nicolas Boizard, Hippolyte Gisserot-Boukhlef, Kevin El Haddad +2Reasoning Traces Finetuning
Reasoning or Rambling? Exploring the Effect of Thinking on Agent Persuasion
Sep 25, 2025Haodong Zhao, Jidong Li, Zhaomin Wu +4Persuasion LLM Reasoning Methods
Predicting LLM Reasoning Performance with Small Proxy Model
Sep 25, 2025Woosung Koh, Juyoung Suk, Sungjun Han +2LLM Reasoning Methods Large Reasoning Models
Discovering New Theorems via LLMs with In-Context Proof Learning in Lean
Sep 16, 2025Kazumi Kasaura, Naoto Onda, Yuta Oriike +3Theorem LLM Reasoning Methods
Vis-CoT: A Human-in-the-Loop Framework for Interactive Visualization and Intervention in LLM Chain-of-Thought Reasoning
Sep 1, 2025Kaviraj Pather, Elena Hadjigeorgiou, Arben Krasniqi +4LLM Reasoning Methods Chain-Of-Thought
PiCSAR: Probabilistic Confidence Selection And Ranking for Reasoning Chains
Aug 29, 2025Joshua Ong Jun Leang, Zheng Zhao, Aryo Pradipta Gema +7Large Reasoning Models Ranking
ReST-RL: Reinforcing LLM Reasoning through Unified Self-Training and Value-Guided Search
Aug 27, 2025Sining Zhoubian, Dan Zhang, Jie TangLLM Reasoning Methods Grokipedia
When Tools Hurt LLM Reasoning: State-Dependent Belief Revision under External Evidence
Aug 21, 2025Yufeng Zhao, Junnan Liu, Hongwei Liu +4Belief-Space Planning Reasoning Errors
Fast, Slow, and Tool-augmented Thinking for LLMs: A Review
Aug 17, 2025Xinda Jia, Jinpeng Li, Zezhong Wang +6LLM Reasoning Methods Cognitive Science
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Aug 14, 2025Shilong Li, Xingyuan Bu, Wenjie Wang +22Multimodal Search Agents Multimodal Retrieval
TAR: Temporal Anchor-Constrained Reasoning for Video Temporal Grounding
Aug 11, 2025Chaohong Guo, Xun Mo, Yongwei Nie +3Video Temporal Grounding Temporal Anchor
From "Aha Moments" to Controllable Thinking: Toward Meta-Cognitive Reasoning in Large Reasoning Models via Decoupled Reasoning and Control
Aug 6, 2025Rui Ha, Rui Pu, Chaozhuo Li +2Large Reasoning Models Thinking
Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning
Aug 4, 2025Taihang Zhen, Jialiang Hong, Kai Chen +12Large Reasoning Models Chain-Of-Thought
Web-CogReasoner: Towards Multimodal Knowledge-Induced Cognitive Reasoning for Web Agents
Aug 3, 2025Yuhan Guo, Cong Guo, Aiwen Sun +12Web Agents Multimodal Agents
The Bidirectional Process Reward Model
Aug 3, 2025Lingyin Zhang, Jun Gao, Xiaoxue Ren +1Process Reward Modeling LLM Reasoning Methods
Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts
Aug 2, 2025Xianda Zheng, Zijian Huang, Meng-Fen Chiang +4Knowledge Conflicts LLM Reasoning Methods
Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications
Aug 1, 2025Zizhan Ma, Wenxuan Wang, Meidan Ding +7Clinical Reasoning LLM Reasoning Methods
Post-Training Large Language Models via Reinforcement Learning from Self-Feedback
Jul 29, 2025Carel van Niekerk, Renato Vukovic, Benjamin Ruppik +3LLM Reasoning Methods Reinforcement Learning Post-Training

Jan 13, 2026 · cs.AIJ/K move · Enter open · S save

Improving LLM Reasoning with Homophily-aware Structural and Semantic Text-Attributed Graph Compression

Zijun Di, Bin Lu, Huquan Kang, Luoyi Fu+4

Shanghai Jiao Tong University Shanghai, China

Large language models (LLMs) have demonstrated promising capabilities in Text-Attributed Graph (TAG) understanding. Recent studies typically focus on verbalizing the graph structures via handcrafted prompts, feeding the target node and its neighborhood context into LLMs. However, constrained by the context window, existing methods mainly resort to random sampling, often implemented via dropping node/edge randomly, which inevitably introduces noise and cause reasoning instability. We argue that graphs inherently contain rich structural and semantic information, and that their effective exploitation can unlock potential gains in LLMs reasoning performance. To this end, we propose Homophily-aware Structural and Semantic Compression for LLMs (HS2C), a framework centered on exploiting graph homophily. Structurally, guided by the principle of Structural Entropy minimization, we perform a global hierarchical partition that decodes the graph's essential topology. This partition identifies naturally cohesive, homophilic communities, while discarding stochastic connectivity noise. Semantically, we deliver the detected structural homophily to the LLM, empowering it to perform differentiated semantic aggregation based on predefined community type. This process compresses redundant background contexts into concise community-level consensus, selectively preserving semantically homophilic information aligned with the target nodes. Extensive experiments on 10 node-level benchmarks across LLMs of varying sizes and families demonstrate that, by feeding LLMs with structurally and semantically compressed inputs, HS2C simultaneously enhances the compression rate and downstream inference accuracy, validating its superiority and scalability. Extensions to 7 diverse graph-level benchmarks further consolidate HS2C's task generalizability.

Text-Attributed Graph LLM Reasoning Methods Hierarchical Graph Memory

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