最后是其中提到的工作的总结和参考文献。 我们把调研到的相关文献都搜集到下面的这个 github repo 里面了,后续也会持续更新,也欢迎大家补充~ https://github.com/123penny123/Awesome-LM-RL 补充一下 NeurIPS Workshop 上面提到的该方向的挑战,讲的比较有道理: Many traditional decision making benchmarks are (n...
DeepRetrieval - Hacking Search Engines & Retrievers with LLM + RL Let LLMs learn how to search!Preliminary Technical Report (ArXiv preprint)Wandb Training Report (w/ PubMed Search Engine)Installationconda create -n zero python=3.9 # install torch [or you can skip this step and let vllm to...
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A collection of LLM with RL papers. Contribute to floodsung/LLM-with-RL-papers development by creating an account on GitHub.
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Reinforcement learning (RL) optimization. We initialize from stage 1 and further refine the policy using RL (PPO or iterative DPO), mainly using the correctness score as the reward signal (referred to as the rule-based reward). We provide an example of the sequential rejection sampling process...
实验表明 DPO 可以比 PPO-RLHF 更好地微调 LMs 以对齐人类偏好。值得注意的是,用 DPO 进行微调在控制生成结果的情感以及改善摘要和单轮对话的响应质量方面表现出比 PPO-based RLHF更好的能力,同时实现和训练的难度大大降低。 参考代码:https://github.com/huggingface/trl 1.2 RLHF 论文[1] -图1:RLHF 的...
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.github/workflows src .gitignore .pre-commit-config.yaml LICENSE README.md pyproject.toml requirements.txt version.txt Repository files navigation README Apache-2.0 license Reward-Model Reward Model training framework for LLM RLHF. For in-depth understanding of Reward modeling, checkout...
AReaL (Ant Reasoning RL) is a fully open-sourced, scalable, and efficient reinforcement learning training system for large language models developed at the RL Lab, Ant Research, built upon the open-source project RealHF. We fully commit to open-source by releasing training details, data, and ...