Papers by Sushrita Yerra

1 papers
Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty (2026.eacl-long)

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Challenge: Current evaluation of large language models prioritizes accuracy, but abstention is vital for trustworthy deployment.
Approach: They propose a benchmark and evaluation protocol for abstention in medical multiple-choice question answering . they integrate conformal prediction, adversarial question perturbations, and explicit abstraction options.
Outcome: The proposed protocol improves reliability of medical multiple-choice question answering models by providing explicit abstention options.

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