作者位次 #3/4ICLR 2026Poster· Social Aspects / Trustworthy Machine Learning
Understanding Language Prior of LVLMs by Contrasting Chain-of-Embedding
Lin Long · Changdae Oh · Seongheon Park · Sharon Li
社会与人本OpenReview
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Lin Long · Changdae Oh · Seongheon Park · Sharon Li
Min-Hsuan Yeh · Max Kamachee · Seongheon Park · Sharon Li
Changdae Oh · Seongheon Park · To Eun Kim · Jiatong Li · Wendi Li · Samuel Yeh · Sean Du · Hamed Hassani · Paul Bogdan · Dawn Song · Sharon Li
Uncertainty quantification (UQ) for large language models (LLMs) is a key building block for safety guardrails of daily LLM applications. Yet, even as LLM agents are increasingly deployed in highly complex tasks, most UQ research still centers on single-turn question-answering. We argue that UQ r...
Seongheon Park · Changdae Oh · Hyeong Kyu Choi · Sean Du · Sharon Li
Large Vision-Language Models (LVLMs) frequently hallucinate, limiting their safe deployment in real-world applications. Existing LLM self-evaluation methods rely on a model’s ability to estimate the correctness of its own outputs, which can improve deployment reliability; however, they depend hea...