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Home/Authors/Anqi Liu

Anqi Liu

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

AI×1ML×1NLP×1

Frequent co-authors

Gina Wong1×
Drew Prinster1×
Suchi Saria1×
Rama Chellappa1×
Zhengping Jiang1×
Mehran Khodabandeh1×

Research Timeline

2026
Configurable Reward Model for Balanced Safety Alignment

The paper introduces the Configurable Safety Reward Model (CSRM), a novel reward model that can be jointly optimized for calibrated safety compliance and reward modeling, significantly improving LLM safety alignment across diverse and unseen safety configurations.

Toward Calibrated Mixture-of-Experts Under Distribution Shift

This paper studies the behavior of mixture-of-experts (MoE) models under distribution shift and proposes an adversarial reweighting method to improve their calibration.

Highlighted terms show continued research focus across papers

Papers

cs.AIcs.LGEmpiricalRecentJun 18, 2026

Toward Calibrated Mixture-of-Experts Under Distribution Shift

Gina Wong, Drew Prinster, Suchi Saria, Rama Chellappa +1 more

This paper studies the behavior of mixture-of-experts (MoE) models under distribution shift and proposes an adversarial reweighting method to improve their calibration.

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cs.CLRecentMay 28, 2026

Configurable Reward Model for Balanced Safety Alignment

Zhengping Jiang, Mehran Khodabandeh, Akash Bharadwaj, Manik Bhandari +4 more

The paper introduces the Configurable Safety Reward Model (CSRM), a novel reward model that can be jointly optimized for calibrated safety compliance and reward modeling, significantly improving LLM s…

View →