Quanquan C. Liu
2 indexed papers
Recent (6 mo)
2With code
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226
Top categories
ML×1AI×1NLP×1Stats Theory×1Stats ML×1Crypto×1Databases×1
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Research Timeline
2026
LAPRAS : Learning-Augmented PRivate Answering for linear query Streams
LAPRAS proposes a learning-augmented differentially private query answering framework that uses predictions of future queries to maximize utility while maintaining robustness against prediction errors.
Reasoning with Sampling: Cutting at Decision Points
The paper introduces Entropy-Cut Metropolis-Hastings, an efficient sampling method that uses next-token entropy to identify and resample from critical decision points in a reasoning trace, significantly improving sampling efficiency over existing uniform cut methods.
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Papers
cs.LGcs.AIcs.CLRecentMay 28, 2026
Reasoning with Sampling: Cutting at Decision Points
The paper introduces Entropy-Cut Metropolis-Hastings, an efficient sampling method that uses next-token entropy to identify and resample from critical decision points in a reasoning trace, significant…
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cs.CRcs.DBRecentMay 3, 2026