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cs.LG2026
Sample-Efficient Post-Training for LEGO Spatial-Physics Reasoning
Yuhuan Yuan, Zhouliang Yu, Minghao Liu +2
LLM-based LEGO assembly requires both semantic grounding and physical feasibility. In this paper, we identify a data-induced failure mode, physhack, in which generated assemblies s…
cs.LG2025
Environment Scaling for Interactive Agentic Experience Collection: A Survey
Yuchen Huang, Sijia Li, Minghao Liu +5
LLM-based agents can autonomously accomplish complex tasks across various domains. However, to further cultivate capabilities such as adaptive behavior and long-term decision-makin…