Cover Image

CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ke, Pei, Wen, Bosi, Feng, Zhuoer, Liu, Xiao, Lei, Xuanyu, Cheng, Jiale, Wang, Shengyuan, Zeng, Aohan, Dong, Yuxiao, Wang, Hongning, Tang, Jie, Huang, Minlie
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

Training Language Model to Critique for Better Refinement
by: Yu, Tianshu, et al.
Published: (2025)

IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation
by: Wen, Bosi, et al.
Published: (2025)

Black-Box Prompt Optimization: Aligning Large Language Models without Model Training
by: Cheng, Jiale, et al.
Published: (2023)

AlignBench: Benchmarking Chinese Alignment of Large Language Models
by: Liu, Xiao, et al.
Published: (2023)

AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models
by: Cheng, Jiale, et al.
Published: (2024)

RLAR: An Agentic Reward System for Multi-task Reinforcement Learning on Large Language Models
by: Feng, Andrew Zhuoer, et al.
Published: (2026)

Does RLHF Scale? Exploring the Impacts From Data, Model, and Method
by: Hou, Zhenyu, et al.
Published: (2024)

ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline
by: Xu, Yifan, et al.
Published: (2024)

HPSS: Heuristic Prompting Strategy Search for LLM Evaluators
by: Wen, Bosi, et al.
Published: (2025)

ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback
by: Hou, Zhenyu, et al.
Published: (2024)

Understanding Emergent Abilities of Language Models from the Loss Perspective
by: Du, Zhengxiao, et al.
Published: (2024)

Language Model Decoding as Direct Metrics Optimization
by: Ji, Haozhe, et al.
Published: (2023)

IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation
by: Wen, Bosi, et al.
Published: (2026)

LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models
by: Gui, Jiayi, et al.
Published: (2024)

VPO: Aligning Text-to-Video Generation Models with Prompt Optimization
by: Cheng, Jiale, et al.
Published: (2025)

Towards Efficient Exact Optimization of Language Model Alignment
by: Ji, Haozhe, et al.
Published: (2024)

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
by: Cheng, Jiale, et al.
Published: (2024)

LongSafety: Evaluating Long-Context Safety of Large Language Models
by: Lu, Yida, et al.
Published: (2025)

Critique-Coder: Enhancing Coder Models by Critique Reinforcement Learning
by: Ruan, Chi, et al.
Published: (2025)

Data-Efficient RLVR via Off-Policy Influence Guidance
by: Zhu, Erle, et al.
Published: (2025)

RAVEL: Reasoning Agents for Validating and Evaluating LLM Text Synthesis
by: Feng, Andrew Zhuoer, et al.
Published: (2026)

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

The Critique of Critique
by: Sun, Shichao, et al.
Published: (2024)

Self-Generated Critiques Boost Reward Modeling for Language Models
by: Yu, Yue, et al.
Published: (2024)

RealCritic: Towards Effectiveness-Driven Evaluation of Language Model Critiques
by: Tang, Zhengyang, et al.
Published: (2025)

Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization
by: Zhang, Zhexin, et al.
Published: (2023)

GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot
by: Zeng, Aohan, et al.
Published: (2024)

HoWToBench: Holistic Evaluation for LLM's Capability in Human-level Writing using Tree of Writing
by: Feng, Andrew Zhuoer, et al.
Published: (2026)

Learning Task Decomposition to Assist Humans in Competitive Programming
by: Wen, Jiaxin, et al.
Published: (2024)

APAR: LLMs Can Do Auto-Parallel Auto-Regressive Decoding
by: Liu, Mingdao, et al.
Published: (2024)

Beyond Sparse Rewards: Enhancing Reinforcement Learning with Language Model Critique in Text Generation
by: Cao, Meng, et al.
Published: (2024)

Critiques of World Models
by: Xing, Eric, et al.
Published: (2025)

A Lightweight Framework for Adaptive Retrieval In Code Completion With Critique Model
by: Zhang, Wenrui, et al.
Published: (2024)

The Superalignment of Superhuman Intelligence with Large Language Models
by: Huang, Minlie, et al.
Published: (2024)

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

Interactive Critique-Revision Training for Reliable Structured LLM Generation
by: Yu, Fei Xu, et al.
Published: (2026)

CritiqueCrew: Orchestrating Multi-Perspective Conversational Design Critique
by: Chen, Xiaojiao, et al.
Published: (2026)

Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form Planning
by: Wen, Jiaxin, et al.
Published: (2024)

The Impact of Critique on LLM-Based Model Generation from Natural Language: The Case of Activity Diagrams
by: Khamsepour, Parham, et al.
Published: (2025)

Scaling Speech-Text Pre-training with Synthetic Interleaved Data
by: Zeng, Aohan, et al.
Published: (2024)