72 citations · 181 across the 44 of their papers we have counts for
Showing 2025 · cs.AIShow all
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cs.AI2025
Towards a Science of Scaling Agent Systems
Yubin Kim, Ken Gu, Chanwoo Park +17
Agents, language model-based systems capable of reasoning, planning, and acting are widely adopted in real-world tasks, yet how their performance changes as these systems scale acr…
cs.AI2025
Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs
Meng Lu, Ran Xu, Yi Fang +14
While recent vision-language models (VLMs) demonstrate strong image understanding, their ability to "think with images", i.e., to reason through multi-step visual interactions, rem…
cs.AI2025★ 1 cited
MSQA: Benchmarking LLMs on Graduate-Level Materials Science Reasoning and Knowledge
Jerry Junyang Cheung, Shiyao Shen, Yuchen Zhuang +3
Despite recent advances in large language models (LLMs) for materials science, there is a lack of benchmarks for evaluating their domain-specific knowledge and complex reasoning ab…