Context-Aware RL for Agentic and Multimodal LLMs
ContextRL enhances long-horizon reasoning and multimodal performance through reinforcement learning that rewards context selection for supporting query-answer pairs, achieving impr…
Hugging Face · Daily Papers
·Peiyang Xu, Bangzheng Li
·
·▲ 11 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Peiyang Xu, Bangzheng Li, Sijia Liu, Karthik R. Narasimhan, Pramod Viswanath, Prateek Mittal
- 11 upvotes da comunidade
- Temas: reinforcement learning, indirect auxiliary objective, fine-grained grounding, contrastive context data, long-horizon reasoning, multimodal reasoning
Resumo
Resumo original (em inglês), extraído do paper:
ContextRL enhances long-horizon reasoning and multimodal performance through reinforcement learning that rewards context selection for supporting query-answer pairs, achieving improvements over standard methods on diverse benchmarks.
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