Chain-Of-Thought Reasoning

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Period ending 2026-09-14

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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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GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning
Aug 8, 2026Chen Li, Sijie Cheng, Yuelin Zhang +4Long-Horizon Planning Large Language Model Planning
On the use of foundation models in cognitive science
Aug 7, 2026Raj Sanjay Shah, Alex Warstadt, Michael Frank +1Cognitive Science Foundation Model
ReCBM: Uncertainty-Gated Relational Reasoning for Concept Bottleneck Models
Aug 7, 2026An Sui, Yuzhu Li, Fuping Wu +1Concept Bottleneck Models Uncertainty-Aware Teachers
CoBa: Cost-Effective Test-Time Scaling via Compute-Balanced Routing
Aug 7, 2026Yan Zhou, Yue Ouyang, Kaiyang Zheng +1Test-Time Scaling Test Time
Transformers Struggle to Use Their Emergent World Models: Revisiting the Tower of Hanoi, and the Illusion of Thinking
Aug 7, 2026Devin Pereira, Willem ZuidemaLlm-Synthesized Code World Models LLM Reasoning Methods
Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models
Aug 7, 2026Xiangkai Ma, Yue Ma, Junjie Wang +6World Models Chain-Of-Thought
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models
Aug 7, 2026Hsu-kuang Chiu, Stephen F. SmithAutonomous Driving Diffusion-Based Vision-Language-Actions
FutureBridge: Token Selection Beyond Local Preference in Collaborative Decoding
Aug 7, 2026Quanquan Li, Hongbo Zhang, Yihe Chi +9LLM Reasoning Methods Token-Level Uncertainty
Solver-Guided Reasoning for Mixed-Equilibrium Strategies
Aug 7, 2026Han Wang, Philippe Beardsell, Boning Li +4Equilibrium LLM Reasoning Methods
CrossTracer: Cross-Embodiment Navigation via VLA Model Reasoning and Trace Residuals Adapting
Aug 7, 2026Yao Wang, Siyuan Wang, Zhirui Sun +4Cross-Embodiment Generalization Traversability
RP-OPSD: Reasoning-Pivot-Guided On-Policy Self-Distillation for Multilingual Reasoning Transfer
Aug 6, 2026Xinye Wang, Junxiao Liu, Shujian HuangLLM Reasoning Methods Mathematical Reasoning Benchmarks
Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval
Aug 6, 2026Zelong Sun, Jun Wang, Kaicheng Yang +3Multimodal Retrieval Chain-Of-Thought
On-Policy Delta Distillation for Multilingual Math Reasoning
Aug 6, 2026Byeongho Heo, Jaehui Hwang, Sangdoo Yun +1LLM Reasoning Methods On-Policy Distillation
Answer First, Reason Later: Commitment Order in Diffusion LLMs
Aug 6, 2026Jewon Yeom, Jaewon Sok, Seonghyeon Park +3Diffusion Language Models LLM Reasoning Methods
Reasoning Errors Have a Region and a Direction in the Residual-Stream Trajectory of LLMs
Aug 6, 2026Hamed Damirchi, Ignacio Meza De la Jara, Damith Ranasinghe +2Reasoning Benchmark Reasoning Errors
Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning
Aug 6, 2026Ahsan Bilal, Muhammad Ahmed Mohsin, Muhammad Umer +4LLM Reasoning Methods Test Time
EffectLearner: World-Aware Object-Effect Reasoning for Real-World Video Object Removal
Aug 6, 2026Feier Wu, Wanke Xia, Xu He +8Diffusion-Based Object Removal Models Video Object Segmentation
Hyper-ES: Effective Evolution Strategies for LLM Reasoning via Descent Direction Merging
Aug 6, 2026Yu Gu, Zhi Zheng, Yunpeng Ba +3LLM Reasoning Methods Finetuning
Recovering Lesion Parameters from Aphasic Picture Naming Error Profiles in Large Language Models
Aug 5, 2026Yong Yang, Roger Newman-Norlund, Xiang Guan +10Large Language Models Fail LLM Reasoning Methods
Chained Recursive Language Models for Multi-Iteration Reasoning
Aug 5, 2026Purbesh Mitra, Sennur UlukusLLM Reasoning Methods Iterative Reasoning
Does Out-of-Sight Equal Out-of-Mind in CoT Monitorability?
Aug 5, 2026Pedro Ferreira, Wilker Aziz, Ivan TitovReasoning Traces Chain-Of-Thought
From Trajectories to Evidence: Auditable Experimental Records for Industrial Research Agents
Aug 5, 2026Zijie Zhuang, Changxin Lao, Pengbo Xu +13Evidence-Grounded Reasoning Reasoning Trajectory
Fewer Tokens, Smaller Cache: Reward-Coordinated Efficient Reasoning
Aug 5, 2026Qiyuan Zhu, Dezhi Li, Pengyu Cheng +8Large Reasoning Models Process Reward Modeling
Trace, Verify, and Correct: A Training-Free Framework for Spatial Reasoning in Multimodal LLMs
Aug 5, 2026Yang Yang, Jiawei Chen, Tairan Chen +1Spatial Reasoning LLM Reasoning Methods
Chain-of-Thought Monitoring Can Be Unreliable in Implicit-Influence Settings
Aug 5, 2026Agatha Duzan, Asa Cooper SticklandFrontier Models Chain-Of-Thought
Easy to Complete, Hard to Choose: Investigating LLM Performance on the ProverbIT Benchmark
Aug 5, 2026Enrico Mensa, Lorenzo Zane, Calogero Jerik Scozzaro +3Figurative Language Sentence
Evaluating Theory of Mind in Reasoning Models: Robustness over Reasoning
Aug 5, 2026Ian B. de Haan, Peter van der Putten, Max van DuijnTheory-Of-Mind Reasoning Large Reasoning Models
HELENA:Hierarchical Sparse Coordination over a Union of Complementary Topologies for MAS
Aug 5, 2026Zhifang Mao, Linyao Zheng, Xuhang Shi +1Dynamic Multi-Scale Coordination Framework Communication Topologies
ODRA: Synthesizing Cognitive Behavioral Therapy Sessions with Structured Chain-Of-Thought and Dynamic Patient Resistance
Aug 5, 2026Javier Rodriguez-Juan, Hiba Arnaout, Jose Garcia-Rodriguez +2Cognitive Behavioral Therapy Simulated Patients
Thinking with Anchors: Grounded and Efficient Document Reasoning
Aug 5, 2026Sichen Zhu, Yuchen Zhu, Wenzhuo Xu +13Visual Document Retrieval Document
Structured LLM Reasoning for Zero-Shot Human--Robot Coordination Under Hidden Goals
Aug 5, 2026Dong Hae Mangalindan, Anand Gokhale, Francesco Bullo +1Human-Robot Collaboration Theory-Of-Mind Reasoning
Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility
Aug 4, 2026Mohsen Hariri, Weicong Chen, Nahal Shahini +11Test-Time Scaling Inference-Time
ReflectRL: Learning from Golden Negative Trajectories via Reflective-to-Direct Reasoning
Aug 4, 2026Jinhe Bi, Chennan Zhou, Zengjie Jin +10Reasoning Trajectory On-Policy
Sensitivity, Causality, and Repair Dissociate: A Layer-Wise Analysis of Perturbation Robustness and Its Scaling
Aug 4, 2026Nathan Labiosa, David Buff, Ena Nayak +1Causal Attention Chain-Of-Thought
Risky Business: Measuring The Faithfulness-Safety Tension
Aug 4, 2026Dominik Meier, Luca Joshua Francis, Marco Bernhard Kaiser +3Explanation Faithfulness Reasoning Chain
Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve
Aug 4, 2026Denys Pushkin, Albert Q. Jiang, Aryo Lotfi +2Chain-Of-Thought Instruction-Tuned Large Language Models
When Many Answers Are Valid, Voting Fails: Symbolic Verification for Best-of-K Causal Reasoning in LLMs
Aug 4, 2026Omatharv Bharat Vaidya, Connor Thomas Jerzak, Zayne Rea Sprague +2Causal Structure and Reasoning Reasoning Traces
Balancing Efficiency and Efficacy: Training-Free Attention-Guided Switching Between Explicit and Latent Thoughts for MLLMs
Aug 4, 2026Haoqian Kang, Liupeng Li, Kuofeng Gao +5LLM Reasoning Methods Latent Thoughts
Shorter Reasoning, Earlier Answers? An Evaluation of Reasoning Interfaces
Aug 4, 2026Francesca Carlon, Vincent Ginis, Andres AlgabaReasoning Traces Mmlu-Pro
DocTrace: Towards Traceable Long Document VQA via Hierarchical Evidence Graph Reasoning
Aug 4, 2026Le Xiang, Zhicheng Guan, Hong Chen +5Knowledge-Based Visual Question Answering Evidence Graph
The Tell-Tale Trace: Detecting Reasoning Failures in LLMs Using Chain-of-Thought Dynamics
Aug 4, 2026Shashwat Sourav, Aishwarya BalwaniChain-Of-Thought Satisfiability
MoEGen: Mixture-of-Experts for Instance-Adaptive LoRA Generation
Aug 4, 2026Yiming Zeng, Lei Lu, Zexin Li +9Low-Rank Adaptation Experts Reasoning Benchmark
Don't Peek at the Answer: Outcome-Masked Group Relative Policy Optimization for Label-Free RLVR
Aug 4, 2026Yongshi Ye, Liang Zhang, Yidong Chen +2Verifiable Rewards Repair-Based Group-Relative Policy Optimization
PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation
Aug 4, 2026Yongshi Ye, Biao Fu, Chongxuan Huang +2Machine Translation Process Reward Modeling
CVPO: Enhancing LLM Reinforcement Learning Reasoning via Value-Variance Adaptation and Dynamic Curriculum Learning
Aug 4, 2026Ziqi Jia, Yalu Ouyang, Bo Pang +5LLM Reasoning Methods Curriculum Reinforcement Learning
PI-Mem: Pushing Long-Context Reasoning to 3.6M Tokens with Parallel-Iterative Memory
Aug 4, 2026Dawei Liu, Haixu Song, Shuang Cheng +9Efficient Long-Context Inference Large Language Model Memory
TQLite: Multi-LLM Jury Guided Distillation for Real-time MQM Translation Quality Evaluation
Aug 4, 2026Bhavin Jawade, Cameron R. WolfeMachine Translation Quality Large Language Model Evaluation
BODHI: Do LLMs Branch Out and Discover Heterogeneous Inferences?
Aug 3, 2026Soumadeep Saha, Krish Sharma, Akshay Chaturvedi +1LLM Reasoning Methods Verifiable Rewards
Evading Chain-of-Thought Monitoring Through Model Poisoning
Aug 3, 2026Giorgio Severi, Shujaat Mirza, Blake Bullwinkel +1Data Poisoning Reasoning Traces
Right Answer, Wrong Method: Shortcut Hacking Misleads the Evaluation of LLM Reasoning on Frontier Science Benchmarks
Aug 3, 2026Xuan Ren, Weiqi Zhai, Tianle Pu +4Reasoning Benchmark Olympiad-Level Problem
Beyond the Mean: Multi-Moment Policy Optimization for LLM Reasoning
Aug 3, 2026Yijun Zhang, Yule Xie, Jiaxin Ding +4LLM Reasoning Methods Relative Policy Optimization
How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models
Aug 3, 2026Andres Algaba, Francesca Carlon, Lynn Delcon +3Reasoning Traces Reading
HPFA: Hypergraph-Based Paired Failure Attribution for LLM Reasoning
Aug 3, 2026Runchuan Zhu, Hongbin Lai, Bowen Jiang +4Step-Level Failure Attribution LLM Reasoning Methods
AdaThinkV: Adaptive Thinking for Token-Efficient Video Reasoning
Aug 3, 2026Jingqi Tian, Haoji Zhang, Lin Chen +7Thinking
TRAM: Enhancing Multimodal Reasoning with Trajectory-Derived Auxiliary Memory
Aug 3, 2026Kang Liu, Zijing Wang, Yongkang Liu +5Multimodal Reasoning Reasoning Trajectory
ReasonCast: Towards Explainable Time Series Forecasting with Reasoning
Aug 3, 2026Seunghan Lee, Jun Seo, Jaehoon Lee +9Time Series Forecasting Large Reasoning Models
DeepVoyager-VL: Incentivizing Vision-in-the-Loop Search for Long-Horizon Multimodal Agents
Aug 3, 2026Huanyao Zhang, Jiepeng Zhou, Runhao Zhao +12Multimodal Search Agents Long-Horizon
TCPO: Turn-Level Credit Policy Optimization
Aug 3, 2026Sicong Liao, Zhi Chen, Yaohua TangVerifiable Rewards LLM Reasoning Methods
Does Accuracy Equal Evidence? Reasoning Faithfulness under KV Cache Compression
Aug 3, 2026Mengting Ai, Jingrui He, Yue GuoKey-Value Cache Compression Reasoning Traces
PICTURE: Enhancing Theory-of-Mind in Large Language Models by Revealing, Not Hiding, Characters' Lack of Knowledge
Aug 3, 2026Eojin Jeon, SangKeun LeeTheory-Of-Mind Reasoning LLM Reasoning Methods

Aug 8, 2026 · cs.AIJ/K move · Enter open · S save

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning

Chen Li, Sijie Cheng, Yuelin Zhang, Junxi Li+3

Embodied agents using LLM-based planners often struggle with physical hallucinations, poor generalization to long-horizon tasks, and lack of environmental awareness. We propose GraphThink, a novel framework that integrates a task graph to provide structured knowledge for robust planning and a scene graph to maintain environmental memory for event-driven replanning. Specifically, the task graph guides LLM thinking through contextual prompting and iterative refinement, effectively mitigating planning hallucinations. Furthermore, within the GRPO framework, the task graph offers delicate reward design to train the LLM planner, enhancing long-horizon planning capabilities and improving generalization. Finally, an event-driven replanning module, powered by the scene graph, enables closed-loop environment awareness and error correction. GraphThink achieves state-of-the-art performance on the ALFRED benchmark. In particular, our high-level planner surpasses leading API-based LLMs on both the validation set and held-out long-horizon tasks, underscoring its robust zero-shot and few-shot capabilities. Additional evaluations further demonstrate strong out-of-distribution generalization to novel tasks and environments.

Long-Horizon Planning Large Language Model Planning Thinking Environment

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