Cover Image

CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gou, Zhibin, Shao, Zhihong, Gong, Yeyun, Shen, Yelong, Yang, Yujiu, Duan, Nan, Chen, Weizhu
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
by: Gou, Zhibin, et al.
Published: (2023)

Exploring the Mystery of Influential Data for Mathematical Reasoning
by: Ni, Xinzhe, et al.
Published: (2024)

Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning
by: Huang, Yiming, et al.
Published: (2024)

Rho-1: Not All Tokens Are What You Need
by: Lin, Zhenghao, et al.
Published: (2024)

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
by: Sun, Jiashuo, et al.
Published: (2023)

CriticBench: Benchmarking LLMs for Critique-Correct Reasoning
by: Lin, Zicheng, et al.
Published: (2024)

Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR
by: Liang, Xiao, et al.
Published: (2025)

MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique
by: Zeng, Gailun, et al.
Published: (2025)

SciAgent: Tool-augmented Language Models for Scientific Reasoning
by: Ma, Yubo, et al.
Published: (2024)

SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning
by: Liang, Xiao, et al.
Published: (2025)

Competition-Level Problems are Effective LLM Evaluators
by: Huang, Yiming, et al.
Published: (2023)

AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators
by: He, Xingwei, et al.
Published: (2023)

Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
by: Ren, Liliang, et al.
Published: (2024)

Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency
by: Huang, Baizhou, et al.
Published: (2023)

Mixture of Neuron Experts
by: Cheng, Runxi, et al.
Published: (2025)

Shuffle the Context: RoPE-Perturbed Self-Distillation for Long-Context Adaptation
by: Li, Zichong, et al.
Published: (2026)

Large Language Models Can Self-Improve in Long-context Reasoning
by: Li, Siheng, et al.
Published: (2024)

Adapting LLM Agents with Universal Feedback in Communication
by: Wang, Kuan, et al.
Published: (2023)

CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios
by: Huang, Shiting, et al.
Published: (2025)

Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability
by: Liang, Xiao, et al.
Published: (2026)

Test-time Recursive Thinking: Self-Improvement without External Feedback
by: Zhuang, Yufan, et al.
Published: (2026)

Large Language Models Can Self-Correct with Key Condition Verification
by: Wu, Zhenyu, et al.
Published: (2024)

Rethinking Language Model Scaling under Transferable Hypersphere Optimization
by: Ren, Liliang, et al.
Published: (2026)

Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models
by: Luo, Yi, et al.
Published: (2024)

Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning
by: Park, Sungjin, et al.
Published: (2024)

PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive Summarization
by: Ma, Xinbei, et al.
Published: (2023)

Improving Data and Reward Design for Scientific Reasoning in Large Language Models
by: Chen, Zijie, et al.
Published: (2026)

RLBR: Reinforcement Learning with Biasing Rewards for Contextual Speech Large Language Models
by: Ren, Bo, et al.
Published: (2026)

Self-Evolving Critique Abilities in Large Language Models
by: Tang, Zhengyang, et al.
Published: (2025)

Smaller Large Language Models Can Do Moral Self-Correction
by: Liu, Guangliang, et al.
Published: (2024)

Process-based Self-Rewarding Language Models
by: Zhang, Shimao, et al.
Published: (2025)

Training Matryoshka Mixture-of-Experts for Elastic Inference-Time Expert Utilization
by: Wang, Yaoxiang, et al.
Published: (2025)

Reinforcement Learning for Reasoning in Large Language Models with One Training Example
by: Wang, Yiping, et al.
Published: (2025)

DeepCritic: Deliberate Critique with Large Language Models
by: Yang, Wenkai, et al.
Published: (2025)

Enhancing Large Language Model Performance with Gradient-Based Parameter Selection
by: Li, Haoling, et al.
Published: (2024)

DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning
by: Shao, Zhihong, et al.
Published: (2025)

ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models
by: Zhang, Yuxiang, et al.
Published: (2024)

Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling
by: Shin, Haebin, et al.
Published: (2025)

Dancing with Critiques: Enhancing LLM Reasoning with Stepwise Natural Language Self-Critique
by: Li, Yansi, et al.
Published: (2025)

Can Tool-augmented Large Language Models be Aware of Incomplete Conditions?
by: Yang, Seungbin, et al.
Published: (2024)