Image de couverture de livre

Chain-of-Probe: Examining the Necessity and Accuracy of CoT Step-by-Step

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Zezhong, Zeng, Xingshan, Liu, Weiwen, Wang, Yufei, Li, Liangyou, Wang, Yasheng, Shang, Lifeng, Jiang, Xin, Liu, Qun, Wong, Kam-Fai
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning
par: Wang, Zezhong, et autres
Publié: (2025)

ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis
par: Wang, Zezhong, et autres
Publié: (2024)

ARTIS: Agentic Risk-Aware Test-Time Scaling via Iterative Simulation
par: Zeng, Xingshan, et autres
Publié: (2026)

ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool Learning
par: Zeng, Xingshan, et autres
Publié: (2025)

ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction
par: Zeng, Xingshan, et autres
Publié: (2025)

MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models
par: Kwan, Wai-Chung, et autres
Publié: (2024)

M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models
par: Kwan, Wai-Chung, et autres
Publié: (2023)

Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization
par: Jiang, Yuxin, et autres
Publié: (2024)

FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
par: Jiang, Yuxin, et autres
Publié: (2023)

From Verifiable Dot to Reward Chain: Harnessing Verifiable Reference-based Rewards for Reinforcement Learning of Open-ended Generation
par: Jiang, Yuxin, et autres
Publié: (2026)

Learning to Edit: Aligning LLMs with Knowledge Editing
par: Jiang, Yuxin, et autres
Publié: (2024)

From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step
par: Deng, Yuntian, et autres
Publié: (2024)

Fast, Slow, and Tool-augmented Thinking for LLMs: A Review
par: Jia, Xinda, et autres
Publié: (2025)

Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios
par: Huang, Shijue, et autres
Publié: (2024)

Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification
par: Liu, Chengwu, et autres
Publié: (2025)

Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models
par: Wang, Lingzhi, et autres
Publié: (2024)

DAST: Difficulty-Aware Self-Training on Large Language Models
par: Xue, Boyang, et autres
Publié: (2025)

ReliableMath: Benchmark of Reliable Mathematical Reasoning on Large Language Models
par: Xue, Boyang, et autres
Publié: (2025)

Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge
par: Zhang, Qiyuan, et autres
Publié: (2025)

SELF: Self-Evolution with Language Feedback
par: Lu, Jianqiao, et autres
Publié: (2023)

Step-CoT: Stepwise Visual Chain-of-Thought for Medical Visual Question Answering
par: Fan, Lin, et autres
Publié: (2026)

CoT-lized Diffusion: Let's Reinforce T2I Generation Step-by-step
par: Liu, Zheyuan, et autres
Publié: (2025)

Advancing and Benchmarking Personalized Tool Invocation for LLMs
par: Huang, Xu, et autres
Publié: (2025)

What Really Counts? Examining Step and Token Level Attribution in Multilingual CoT Reasoning
par: Ferrao, Jeremias, et autres
Publié: (2025)

RevisEval: Improving LLM-as-a-Judge via Response-Adapted References
par: Zhang, Qiyuan, et autres
Publié: (2024)

LLaVA-CoT: Let Vision Language Models Reason Step-by-Step
par: Xu, Guowei, et autres
Publié: (2024)

Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step
par: Guo, Ziyu, et autres
Publié: (2025)

Position: The Real Barrier to LLM Agent Usability is Agentic ROI
par: Liu, Weiwen, et autres
Publié: (2025)

UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems
par: Wang, Hongru, et autres
Publié: (2024)

FReM: A Flexible Reasoning Mechanism for Balancing Quick and Slow Thinking in Long-Context Question Answering
par: Zhao, Zhengyi, et autres
Publié: (2025)

YODA: Teacher-Student Progressive Learning for Language Models
par: Lu, Jianqiao, et autres
Publié: (2024)

ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution
par: Huang, Xu, et autres
Publié: (2025)

Do Latent-CoT Models Think Step-by-Step? A Mechanistic Study on Sequential Reasoning Tasks
par: Liang, Jia, et autres
Publié: (2026)

ToolACE: Winning the Points of LLM Function Calling
par: Liu, Weiwen, et autres
Publié: (2024)

SIM-CoT: Supervised Implicit Chain-of-Thought
par: Wei, Xilin, et autres
Publié: (2025)

Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving
par: Xu, Xin, et autres
Publié: (2025)

UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval
par: Wang, Hongru, et autres
Publié: (2024)

Memory-T1: Reinforcement Learning for Temporal Reasoning in Multi-session Agents
par: Du, Yiming, et autres
Publié: (2025)

Learning to Align Multi-Faceted Evaluation: A Unified and Robust Framework
par: Xu, Kaishuai, et autres
Publié: (2025)

Data Management For Training Large Language Models: A Survey
par: Wang, Zige, et autres
Publié: (2023)