Does RLHF Scale? Exploring the Impacts From Data, Model, and Method
Fuente:
arXiv
Saved in:
| Main Authors: | Hou, Zhenyu, Du, Pengfan, Niu, Yilin, Du, Zhengxiao, Zeng, Aohan, Liu, Xiao, Huang, Minlie, Wang, Hongning, Tang, Jie, Dong, Yuxiao |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback
by: Hou, Zhenyu, et al.
Published: (2024)
by: Hou, Zhenyu, et al.
Published: (2024)
Understanding Emergent Abilities of Language Models from the Loss Perspective
by: Du, Zhengxiao, et al.
Published: (2024)
by: Du, Zhengxiao, et al.
Published: (2024)
Scaling Speech-Text Pre-training with Synthetic Interleaved Data
by: Zeng, Aohan, et al.
Published: (2024)
by: Zeng, Aohan, et al.
Published: (2024)
GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot
by: Zeng, Aohan, et al.
Published: (2024)
by: Zeng, Aohan, et al.
Published: (2024)
Data-Efficient RLVR via Off-Policy Influence Guidance
by: Zhu, Erle, et al.
Published: (2025)
by: Zhu, Erle, et al.
Published: (2025)
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline
by: Xu, Yifan, et al.
Published: (2024)
by: Xu, Yifan, et al.
Published: (2024)
IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation
by: Wen, Bosi, et al.
Published: (2025)
by: Wen, Bosi, et al.
Published: (2025)
CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation
by: Ke, Pei, et al.
Published: (2023)
by: Ke, Pei, et al.
Published: (2023)
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
by: Bai, Yushi, et al.
Published: (2023)
by: Bai, Yushi, et al.
Published: (2023)
IndexCache: Accelerating Sparse Attention via Cross-Layer Index Reuse
by: Bai, Yushi, et al.
Published: (2026)
by: Bai, Yushi, et al.
Published: (2026)
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training
by: Cheng, Jiale, et al.
Published: (2023)
by: Cheng, Jiale, et al.
Published: (2023)
Towards Efficient Exact Optimization of Language Model Alignment
by: Ji, Haozhe, et al.
Published: (2024)
by: Ji, Haozhe, et al.
Published: (2024)
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models
by: Cheng, Jiale, et al.
Published: (2024)
by: Cheng, Jiale, et al.
Published: (2024)
LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models
by: Gui, Jiayi, et al.
Published: (2024)
by: Gui, Jiayi, et al.
Published: (2024)
SWE-Dev: Building Software Engineering Agents with Training and Inference Scaling
by: Wang, Haoran, et al.
Published: (2025)
by: Wang, Haoran, et al.
Published: (2025)
APAR: LLMs Can Do Auto-Parallel Auto-Regressive Decoding
by: Liu, Mingdao, et al.
Published: (2024)
by: Liu, Mingdao, 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)
by: Cheng, Jiale, et al.
Published: (2024)
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario
by: Zhong, Lucen, et al.
Published: (2025)
by: Zhong, Lucen, et al.
Published: (2025)
Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form Planning
by: Wen, Jiaxin, et al.
Published: (2024)
by: Wen, Jiaxin, et al.
Published: (2024)
LongSafety: Evaluating Long-Context Safety of Large Language Models
by: Lu, Yida, et al.
Published: (2025)
by: Lu, Yida, et al.
Published: (2025)
IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation
by: Wen, Bosi, et al.
Published: (2026)
by: Wen, Bosi, et al.
Published: (2026)
Data Selection via Optimal Control for Language Models
by: Gu, Yuxian, et al.
Published: (2024)
by: Gu, Yuxian, et al.
Published: (2024)
Language Model Decoding as Direct Metrics Optimization
by: Ji, Haozhe, et al.
Published: (2023)
by: Ji, Haozhe, et al.
Published: (2023)
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment
by: Hou, Zhenyu, et al.
Published: (2024)
by: Hou, Zhenyu, et al.
Published: (2024)
VPO: Aligning Text-to-Video Generation Models with Prompt Optimization
by: Cheng, Jiale, et al.
Published: (2025)
by: Cheng, Jiale, et al.
Published: (2025)
AgentBench: Evaluating LLMs as Agents
by: Liu, Xiao, et al.
Published: (2023)
by: Liu, Xiao, et al.
Published: (2023)
SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models
by: Zhang, Dan, et al.
Published: (2024)
by: Zhang, Dan, et al.
Published: (2024)
AgentRL: Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework
by: Zhang, Hanchen, et al.
Published: (2025)
by: Zhang, Hanchen, et al.
Published: (2025)
TreeRL: LLM Reinforcement Learning with On-Policy Tree Search
by: Hou, Zhenyu, et al.
Published: (2025)
by: Hou, Zhenyu, et al.
Published: (2025)
HoWToBench: Holistic Evaluation for LLM's Capability in Human-level Writing using Tree of Writing
by: Feng, Andrew Zhuoer, et al.
Published: (2026)
by: Feng, Andrew Zhuoer, et al.
Published: (2026)
Trust-Region Adaptive Policy Optimization
by: Su, Mingyu, et al.
Published: (2025)
by: Su, Mingyu, et al.
Published: (2025)
Guiding not Forcing: Enhancing the Transferability of Jailbreaking Attacks on LLMs via Removing Superfluous Constraints
by: Yang, Junxiao, et al.
Published: (2025)
by: Yang, Junxiao, et al.
Published: (2025)
LongReward: Improving Long-context Large Language Models with AI Feedback
by: Zhang, Jiajie, et al.
Published: (2024)
by: Zhang, Jiajie, et al.
Published: (2024)
T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
by: Hou, Zhenyu, et al.
Published: (2025)
by: Hou, Zhenyu, et al.
Published: (2025)
Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen!
by: Zhang, Zhexin, et al.
Published: (2025)
by: Zhang, Zhexin, et al.
Published: (2025)
RLHF Workflow: From Reward Modeling to Online RLHF
by: Dong, Hanze, et al.
Published: (2024)
by: Dong, Hanze, et al.
Published: (2024)
Think Socially via Cognitive Reasoning
by: Zhou, Jinfeng, et al.
Published: (2025)
by: Zhou, Jinfeng, et al.
Published: (2025)
Language Models Learn to Mislead Humans via RLHF
by: Wen, Jiaxin, et al.
Published: (2024)
by: Wen, Jiaxin, et al.
Published: (2024)
Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization
by: Zhang, Zhexin, et al.
Published: (2023)
by: Zhang, Zhexin, et al.
Published: (2023)
Learning Task Decomposition to Assist Humans in Competitive Programming
by: Wen, Jiaxin, et al.
Published: (2024)
by: Wen, Jiaxin, et al.
Published: (2024)
Similar Items
-
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) -
Scaling Speech-Text Pre-training with Synthetic Interleaved Data
by: Zeng, Aohan, et al.
Published: (2024) -
GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot
by: Zeng, Aohan, et al.
Published: (2024) -
Data-Efficient RLVR via Off-Policy Influence Guidance
by: Zhu, Erle, et al.
Published: (2025)