Deep Research in Physical Sciences: A Multi-Agent Framework and Comprehensive Benchmark
PhySciBench benchmark reveals limited performance of current LLM agents in physical science research, leading to development of DelveAgent framework that improves accuracy through…
Hugging Face · Daily Papers
·Yigeng Jiang, Tengchao Yang
·
·▲ 10 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Yigeng Jiang, Tengchao Yang, Taoyong Cui, Jiaxing Wan, Yuan Wang, Weida Wang
- 10 upvotes da comunidade
- Temas: Large Language Model, scientific reasoning, physical science research, benchmark, agent systems, multi-agent framework
Resumo
Resumo original (em inglês), extraído do paper:
PhySciBench benchmark reveals limited performance of current LLM agents in physical science research, leading to development of DelveAgent framework that improves accuracy through modular design and physics-grounded mechanisms.
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