#rlhf
- Apodex 1.1: Scaling Agentic Intelligence for Complex Work Apodex research
- OpenAI Discloses How a 2.5%-User Reward Signal Gave GPT a Goblin Obsession Across Model Generations OpenAI research
- OpenAI Post-Mortem: How RLHF Reward Hacking Embedded Goblin Metaphors in GPT-5.x OpenAI research
- Annotations as Rollouts: Efficient and Scalable Reinforcement Learning for Video MLLMs research
- Z-Reward: Score Distributions Instead of Scalar Rewards for Image Generation RLHF Alibaba research
- Rethinking Critic Learning in PPO: Understanding and Mitigating Value Flattening Shanghai AI Laboratory research
- NudgeRL: Strategy-Level Context Nudges for Efficient RLVR Exploration KAIST AI research
- Anatomy of Post-Training: Using Interpretability to Audit and Fix Preference Data research
- Tencent Hunyuan Open-Sources UniRL: Unified RL Post-Training for LLMs and Diffusion Models Tencent / Hunyuan research
- TRL v1.11.0 rewrites trl vllm-serve (~10x smaller) and ships AsyncDistillationTrainer Hugging Face tools