:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xu, Xiaofei, Zhang, Xiuzhen, Deng, Ke
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2506.05924
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Teaching Large Language Models Number-Focused Headline Generation With Key Element Rationales
by: Qian, Zhen, et al.
Published: (2025)

Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate
by: Wang, Yubo, et al.
Published: (2025)

Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning
by: Chien, Chung-Ming, et al.
Published: (2024)

Beyond Query-Level Comparison: Fine-Grained Reinforcement Learning for Text-to-SQL with Automated Interpretable Critiques
by: Wang, Guifeng, et al.
Published: (2025)

Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation
by: Yue, Zhenrui, et al.
Published: (2024)

VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning
by: Wu, Xueqing, et al.
Published: (2024)

CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation
by: Ke, Pei, et al.
Published: (2023)

CLAIMCHECK: How Grounded are LLM Critiques of Scientific Papers?
by: Ou, Jiefu, et al.
Published: (2025)

Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning
by: Xu, Xiaofei, et al.
Published: (2024)

HUT: A More Computation Efficient Fine-Tuning Method With Hadamard Updated Transformation
by: Zhang, Geyuan, et al.
Published: (2024)

Improving Model Factuality with Fine-grained Critique-based Evaluator
by: Xie, Yiqing, et al.
Published: (2024)

Learning Fine-Grained Grounded Citations for Attributed Large Language Models
by: Huang, Lei, et al.
Published: (2024)

LiFi: Lightweight Controlled Text Generation with Fine-Grained Control Codes
by: Shi, Chufan, et al.
Published: (2024)

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

Fine-Grained Detection of Context-Grounded Hallucinations Using LLMs
by: Peisakhovsky, Yehonatan, et al.
Published: (2025)

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

Generative Debunking of Climate Misinformation
by: Zanartu, Francisco, et al.
Published: (2024)

Teaching Language Models to Critique via Reinforcement Learning
by: Xie, Zhihui, et al.
Published: (2025)

REFER: Mitigating Bias in Opinion Summarisation via Frequency Framed Prompting
by: Huang, Nannan, et al.
Published: (2025)

MMIDR: Teaching Large Language Model to Interpret Multimodal Misinformation via Knowledge Distillation
by: Wang, Longzheng, et al.
Published: (2024)

Critique-RL: Training Language Models for Critiquing through Two-Stage Reinforcement Learning
by: Xi, Zhiheng, et al.
Published: (2025)

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

GenProve: Learning to Generate Text with Fine-Grained Provenance
by: Wei, Jingxuan, et al.
Published: (2026)

Rectify Evaluation Preference: Improving LLMs' Critique on Math Reasoning via Perplexity-aware Reinforcement Learning
by: Tian, Changyuan, et al.
Published: (2025)

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

A Cognitively Grounded Bayesian Framework for Misinformation Susceptibility
by: Madhyastha, Pranava
Published: (2026)

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

PEACE 2.0: Grounded Explanations and Counter-Speech for Combating Hate Expressions
by: Damo, Greta, et al.
Published: (2026)

Learning from Fine-Grained Visual Discrepancies: Mitigating Multimodal Hallucinations via In-Context Visual Contrastive Optimization
by: Deng, Haolin, et al.
Published: (2026)

How to Protect Yourself from 5G Radiation? Investigating LLM Responses to Implicit Misinformation
by: Guo, Ruohao, et al.
Published: (2025)

CulFiT: A Fine-grained Cultural-aware LLM Training Paradigm via Multilingual Critique Data Synthesis
by: Feng, Ruixiang, et al.
Published: (2025)

Teaching LLMs to Abstain via Fine-Grained Semantic Confidence Reward
by: An, Hao, et al.
Published: (2025)

Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias
by: Huang, Nannan, et al.
Published: (2024)

Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond
by: Deng, Jiaxin, et al.
Published: (2025)

Outcome-Grounded Advantage Reshaping for Fine-Grained Credit Assignment in Mathematical Reasoning
by: Li, Ziheng, et al.
Published: (2026)

TagSpeech: End-to-End Multi-Speaker ASR and Diarization with Fine-Grained Temporal Grounding
by: Huo, Mingyue, et al.
Published: (2026)

Fact4ac at the Financial Misinformation Detection Challenge Task: Reference-Free Financial Misinformation Detection via Fine-Tuning and Few-Shot Prompting of Large Language Models
by: Hoang, Cuong, et al.
Published: (2026)

Mask Tokens as Prophet: Fine-Grained Cache Eviction for Efficient dLLM Inference
by: Huang, Jianuo, et al.
Published: (2025)

Generate, Discriminate, Evolve: Enhancing Context Faithfulness via Fine-Grained Sentence-Level Self-Evolution
by: Li, Kun, et al.
Published: (2025)

Efficient Tuning of Large Language Models for Knowledge-Grounded Dialogue Generation
by: Zhang, Bo, et al.
Published: (2025)