Develops robust online conformal prediction schemes that provide explicit miscoverage guarantees under feedback modeled as arbitrary binary flips or bounded-memory errors.
A survey on uncertainty quantification of large language models: Taxonomy, open research challenges, and future directions,
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Online Conformal Prediction with Corrupted Feedback
Develops robust online conformal prediction schemes that provide explicit miscoverage guarantees under feedback modeled as arbitrary binary flips or bounded-memory errors.