Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training
Reinforcement learning adaptation in transformer models shows highly concentrated improvements in specific middle layers rather than uniform parameter updates across all layers.
Hugging Face · Daily Papers
·Zijian Zhang, Rizhen Hu
·
·▲ 3 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Zijian Zhang, Rizhen Hu, Athanasios Glentis, Dawei Li, Chung-Yiu Yau, Hongzhou Lin
- 3 upvotes da comunidade
- Temas: reinforcement learning, transformer layers, layer contribution, full-parameter RL training, GRPO, GiGPO
Resumo
Resumo original (em inglês), extraído do paper:
Reinforcement learning adaptation in transformer models shows highly concentrated improvements in specific middle layers rather than uniform parameter updates across all layers.