Sharon Li

Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks.

[BibT_eX]

[DOI]

Yu Wang

,

Sharon Li

CoRR, April, 2026

Combating Data Laundering in LLM Training.

[BibT_eX]

[DOI]

,

,

,

CoRR, April, 2026

LAD: Learning Advantage Distribution for Reasoning.

[BibT_eX]

[DOI]

Wendi Li

,

Sharon Li

CoRR, February, 2026

How Retrieved Context Shapes Internal Representations in RAG.

[BibT_eX]

[DOI]

Samuel Yeh

,

Sharon Li

CoRR, February, 2026

Thinking Makes LLM Agents Introverted: How Mandatory Thinking Can Backfire in User-Engaged Agents.

[BibT_eX]

[DOI]

,

,

,

,

CoRR, February, 2026

Unlocking the Pre-Trained Model as a Dual-Alignment Calibrator for Post-Trained LLMs.

[BibT_eX]

[DOI]

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,

CoRR, January, 2026

Unsupervised Domain Adaptation for Binary Classification with an Unobservable Source Subpopulation.

[BibT_eX]

[DOI]

,

,

,

,

,

,

Trans. Mach. Learn. Res., 2026

Learning to Think Fast and Slow for Visual Language Models.

[BibT_eX]

[DOI]

,

,

,

,

CoRR, November, 2025

Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense.

[BibT_eX]

[DOI]

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CoRR, October, 2025

Simulating and Understanding Deceptive Behaviors in Long-Horizon Interactions.

[BibT_eX]

[DOI]

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,

,

CoRR, October, 2025

General Exploratory Bonus for Optimistic Exploration in RLHF.

[BibT_eX]

[DOI]

Wendi Li

,

Changdae Oh

,

Sharon Li

CoRR, October, 2025

Maximizing Information Gain in Privacy-Aware Active Learning of Email Anomalies.

[BibT_eX]

[DOI]

,

,

,

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CoRR, 2024

Implementing Active Learning in Cybersecurity: Detecting Anomalies in Redacted Emails.

[BibT_eX]

[DOI]

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CoRR, 2023

Sharon Li

Bibliography

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