Summaries of papers related to the alignment problem in NLP
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Updated
May 29, 2023
Summaries of papers related to the alignment problem in NLP
LMRax is a framework built on JAX to train transformers language models by reinforcement learning, along with the reward model training.
RLHF-Blender: A Configurable Interactive Interface for Learning from Diverse Human Feedback
[TSMC] Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework
Shaping Language Models with Cognitive Insights
annotated tutorial of the huggingface TRL repo for reinforcement learning from human feedback connecting equations from PPO and GAE to the lines of code in the pytorch implementation
A repo for RLHF training and BoN over LLMs, with support for reward model ensembles.
Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback
A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
An Easy-to-use, Scalable and High-performance RLHF Framework (Support 70B+ full tuning & LoRA & Mixtral & KTO)
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