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cs.AI2026
From Research Goals to Scientific Closure: Evaluating Agents Through Evidence-Supported Physics Research
Yijia Mao, Song Dai, Tao Chen +14
Can AI agents organize scientific investigations that lead to well-supported conclusions? To evaluate this capability, we introduce PhysClosureBench, a benchmark of 50 expert-verif…
cs.AI2026
TMCS: Tool-Grounded Multi-Agent Reasoning for Compositional Chemical Problem Solving
Shengqin Wang, Jie Jin, Yu Cheng +4
Despite the promise of Large Language Models (LLMs) in computational chemistry, rigorous combinatorial chemistry problems remain difficult because they require quantitatively const…