Neglected Free Lunch from Post-training: Progress Advantage for LLM Agents
Reinforcement learning post-training enables effective step-level scoring for language models without requiring dedicated reward model training by deriving an implicit advantage fu…
Hugging Face · Daily Papers
·Changdae Oh, Wendi Li
·
·▲ 7 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Changdae Oh, Wendi Li, Seongheon Park, Samuel Yeh, Tanwi Mallick, Sharon Li
- 7 upvotes da comunidade
- Temas: reinforcement learning, reward models, agentic settings, Markov decision process, progress advantage, log-probability ratio
Resumo
Resumo original (em inglês), extraído do paper:
Reinforcement learning post-training enables effective step-level scoring for language models without requiring dedicated reward model training by deriving an implicit advantage function called progress advantage.Onde ler
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