Trusted Source Alignment in Large Language Models
Paper
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2311.06697
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Published
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10
Super Alignment
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Diffusion Model Alignment Using Direct Preference Optimization
Paper • 2311.12908 • Published • 47 -
SuperHF: Supervised Iterative Learning from Human Feedback
Paper • 2310.16763 • Published • 1 -
Enhancing Diffusion Models with Text-Encoder Reinforcement Learning
Paper • 2311.15657 • Published • 2 -
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
Paper • 2311.13231 • Published • 26 -
Aligning Text-to-Image Diffusion Models with Reward Backpropagation
Paper • 2310.03739 • Published • 21 -
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
Paper • 2309.00267 • Published • 47 -
Aligning Language Models with Offline Reinforcement Learning from Human Feedback
Paper • 2308.12050 • Published • 1 -
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
Paper • 2309.10150 • Published • 24 -
Secrets of RLHF in Large Language Models Part I: PPO
Paper • 2307.04964 • Published • 28 -
Efficient RLHF: Reducing the Memory Usage of PPO
Paper • 2309.00754 • Published • 13 -
Aligning Large Multimodal Models with Factually Augmented RLHF
Paper • 2309.14525 • Published • 30 -
Nash Learning from Human Feedback
Paper • 2312.00886 • Published • 14 -
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback
Paper • 2312.00849 • Published • 8 -
Training Chain-of-Thought via Latent-Variable Inference
Paper • 2312.02179 • Published • 8 -
Reinforcement Learning from Diffusion Feedback: Q* for Image Search
Paper • 2311.15648 • Published -
OneLLM: One Framework to Align All Modalities with Language
Paper • 2312.03700 • Published • 20 -
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
Paper • 2204.05862 • Published • 2 -
ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment
Paper • 2403.05135 • Published • 42 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 60 -
Dataset Reset Policy Optimization for RLHF
Paper • 2404.08495 • Published • 8 -
Learn Your Reference Model for Real Good Alignment
Paper • 2404.09656 • Published • 82 -
RLHF Workflow: From Reward Modeling to Online RLHF
Paper • 2405.07863 • Published • 66 -
Iterative Reasoning Preference Optimization
Paper • 2404.19733 • Published • 47 -
Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level
Paper • 2406.11817 • Published • 12 -
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
Paper • 2406.18629 • Published • 41 -
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations
Paper • 2312.08935 • Published • 4 -
Step-Controlled DPO: Leveraging Stepwise Error for Enhanced Mathematical Reasoning
Paper • 2407.00782 • Published • 23 -
Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs
Paper • 2410.18451 • Published • 15