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cs.LG2026
PRISM: Promoting Sampling Diversity of Large Language Models with Implicit Stochastic Modulation
Qixin Xu, Zihan Zhu, Xiaojiang Liu +1
Large language models (LLMs) exhibit mode collapse, where their output distribution concentrates on familiar semantic modes. When diversity disappears, repeated sampling becomes se…
cs.LG2026
MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI
Bohan Lyu, Yucheng Yang, Siqiao Huang +25
Modern AI progress has been driven by ML methods that are generalizable across settings and scalable to larger regimes. As large language models demonstrate advanced capabilities i…