Author

Zixuan Liu

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#machine learning Preprint Sep 2026

Risk-Conditioned Fine-Tuning of Large Language Models

Large Language Models (LLMs) are increasingly deployed in settings where rare but severe harmful generations can have significant consequences. Existing Risk-Averse RLHF addresses this issue by optimizing Conditional Value-at-Risk (CVaR), but it trains policies for fixed risk levels and therefore cannot adjust the desi...

Zi-Xuan Liu, Fangzheng Wu, Brian Summa et al. · 0 citations

#small language model Preprint Aug 2026

Adaptive Multilevel Twisted Sequential Monte Carlo for Rare Events Estimation in Language Models

Adaptive Multilevel Twisted SMC is proposed, which learns the rare-event twist through a sequence of progressively rarer intermediate events, ultimately leading to a more accurate final twist for the target rare event.

Zixuan Liu, Fangzheng Wu, Brian Summa et al. · 0 citations