:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bao, Rong, Zheng, Rui, Dou, Shihan, Wang, Xiao, Zhou, Enyu, Wang, Bo, Zhang, Qi, Ding, Liang, Tao, Dacheng
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2406.11190
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback
by: Dou, Shihan, et al.
Published: (2024)

Uncertainty Aware Learning for Language Model Alignment
by: Wang, Yikun, et al.
Published: (2024)

Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback
by: Gao, Songyang, et al.
Published: (2024)

RMB: Comprehensively Benchmarking Reward Models in LLM Alignment
by: Zhou, Enyu, et al.
Published: (2024)

OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models
by: Wang, Shuai, et al.
Published: (2024)

LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin
by: Dou, Shihan, et al.
Published: (2023)

Better, Faster: Harnessing Self-Improvement in Large Reasoning Models
by: Zhong, Qihuang, et al.
Published: (2026)

E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation
by: Zhong, Qihuang, et al.
Published: (2022)

ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding
by: Zhong, Qihuang, et al.
Published: (2024)

Revisiting Catastrophic Forgetting in Large Language Model Tuning
by: Li, Hongyu, et al.
Published: (2024)

Reason-KE++: Aligning the Process, Not Just the Outcome, for Faithful LLM Knowledge Editing
by: Wu, Yuchen, et al.
Published: (2025)

Steering LLMs via Scalable Interactive Oversight
by: Zhou, Enyu, et al.
Published: (2026)

CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models
by: Lv, Huijie, et al.
Published: (2024)

Internal Consistency and Self-Feedback in Large Language Models: A Survey
by: Liang, Xun, et al.
Published: (2024)

SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance
by: Huang, Caishuang, et al.
Published: (2024)

MetaRM: Shifted Distributions Alignment via Meta-Learning
by: Dou, Shihan, et al.
Published: (2024)

InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling
by: Miao, Yuchun, et al.
Published: (2024)

Information-Theoretic Reward Modeling for Stable RLHF: Detecting and Mitigating Reward Hacking
by: Miao, Yuchun, et al.
Published: (2025)

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation
by: Cai, Shizhan, et al.
Published: (2025)

Review of Hallucination Understanding in Large Language and Vision Models
by: Ho, Zhengyi, et al.
Published: (2025)

Improving RL Exploration for LLM Reasoning through Retrospective Replay
by: Dou, Shihan, et al.
Published: (2025)

A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations
by: Ye, Mang, et al.
Published: (2025)

What's Wrong with Your Code Generated by Large Language Models? An Extensive Study
by: Dou, Shihan, et al.
Published: (2024)

Self-Powered LLM Modality Expansion for Large Speech-Text Models
by: Yu, Tengfei, et al.
Published: (2024)

Learn to Think: Improving Multimodal Reasoning through Vision-Aware Self-Improvement Training
by: Zhong, Qihuang, et al.
Published: (2026)

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

Fairness Mediator: Neutralize Stereotype Associations to Mitigate Bias in Large Language Models
by: Xiao, Yisong, et al.
Published: (2025)

Revisiting Knowledge Distillation for Autoregressive Language Models
by: Zhong, Qihuang, et al.
Published: (2024)

Visual Superordinate Abstraction for Robust Concept Learning
by: Zheng, Qi, et al.
Published: (2022)

RL from Physical Feedback: Aligning Large Motion Models with Humanoid Control
by: Yue, Junpeng, et al.
Published: (2025)

Secrets of RLHF in Large Language Models Part II: Reward Modeling
by: Wang, Binghai, et al.
Published: (2024)

A Critical Evaluation of AI Feedback for Aligning Large Language Models
by: Sharma, Archit, et al.
Published: (2024)

ESceme: Vision-and-Language Navigation with Episodic Scene Memory
by: Zheng, Qi, et al.
Published: (2023)

Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective
by: Li, Tianlong, et al.
Published: (2024)

SAIL: Self-Amplified Iterative Learning for Diffusion Model Alignment with Minimal Human Feedback
by: He, Xiaoxuan, et al.
Published: (2026)

Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models
by: Wang, Wenbin, et al.
Published: (2024)

Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL
by: Zhong, Qihuang, et al.
Published: (2024)

Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models
by: Lu, Qingyu, et al.
Published: (2023)

NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models
by: Ho, Zheng Yi, et al.
Published: (2024)

$\mathbb{USCD}$: Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding
by: Wang, Shuai, et al.
Published: (2024)