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cs.AI2025
Agent RL Scaling Law: Agent RL with Spontaneous Code Execution for Mathematical Problem Solving
Xinji Mai, Haotian Xu, Zhong-Zhi Li +5
Large Language Models (LLMs) often struggle with mathematical reasoning tasks requiring precise, verifiable computation. While Reinforcement Learning (RL) from outcome-based reward…
cs.AI2025
On Path to Multimodal Historical Reasoning: HistBench and HistAgent
Jiahao Qiu, Fulian Xiao, Yimin Wang +96
Recent advances in large language models (LLMs) have led to remarkable progress across domains, yet their capabilities in the humanities, particularly history, remain underexplored…