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Seongchan Lee

1 accepted papers

2026

Multi-LLM Adaptive Conformal Inference for Reliable LLM Response

ICLR 2026poster

Ensuring factuality is essential for the safe use of Large Language Models (LLMs) in high-stakes domains such as medicine and law. Conformal inference provides distribution-free guarantees, but existing approaches are either overly conservative, discarding many true-claims, or rely on adaptive error…

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