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cs.CL2025
Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding
Yuhang Zhou, Mingrui Zhang, Ke Li +12
Understanding and reasoning over tables is a critical capability for many real-world applications. Large language models (LLMs) have shown promise on this task, but current approac…
cs.AI2025
Do LLM Modules Generalize? A Study on Motion Generation for Autonomous Driving
Mingyi Wang, Jingke Wang, Tengju Ye +2
Recent breakthroughs in large language models (LLMs) have not only advanced natural language processing but also inspired their application in domains with structurally similar pro…