Language Model RL

Sample efficiency in larger samples and only finds better reasoning paths within its existing capacity which makes its total problem solving coverage smaller

limit-of-RLVR

LeapLabTHU • Updated 2025 May 24 17:48

www.arxiv.org

https://www.arxiv.org/pdf/2504.13837

SFT Memorizes, RL Generalizes (

AI Memory,

Model Generalization,

OOD)

While the provocative title is not exactly correct, it provides insight even for Multimodality

SFT Memorizes, RL Generalizes

SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

https://tianzhechu.com/SFTvsRL/

Appendix is awesome for
Language Model RL

arxiv.org

https://arxiv.org/pdf/2402.03300

Fine-tuning 20B LLMs with RLHF on a 24GB consumer GPU

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

https://huggingface.co/blog/trl-peft

How to Fine-Tune LLMs in 2024 with Hugging Face

In this blog post you will learn how to fine-tune LLMs using Hugging Face TRL, Transformers and Datasets in 2024. We will fine-tune a LLM on a text to SQL dataset.

https://www.philschmid.de/fine-tune-llms-in-2024-with-trl

Language Model RL

Era of Experience

Appendix is awesome for Language Model RL

Recommendations

Appendix is awesome for
Language Model RL