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cs.CL2026
When Reasoning Narrows the Move: Diversity Collapse in LLM Game Play
Junyi Sha, Renfei Tan, David Simchi-Levi
Supervised fine-tuning (SFT) is widely used to adapt large language models to downstream tasks, but its effect on behavioral diversity in sequential decision-making remains under-e…
cond-mat.stat-mech2026
MetaDNS: Enhancing Exploration in Discrete Neural Samplers via Well-Tempered Metadynamics
Xiaochen Du, Juno Nam, Jaemoo Choi +7
Sampling from discrete distributions with multiple modes and energy barriers is fundamental to machine learning and computational physics. Recent discrete neural samplers like MDNS…