Isaac Gibbs
@iswgibbs
Postdoc @UCBerkeley, PhD in statistics from @Stanford.
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Conformal Prediction With Conditional Guarantees Excited to share my work with John Cherian (@jjcherian) and Emmanuel Candès arxiv.org/abs/2305.12616. It is well-known that pointwise conditional coverage is impossible without strong assumptions. But how close can we get? (1/6)
Really excited to share our recent work on filtering out problematic components from LLM outputs. We give new conformal calibration methods that provide rich conditional guarantees while still retaining a significant portion of the LLM's response. More info in the thread below!
Large language model validity via enhanced conformal prediction methods Excited to share my work with Isaac Gibbs (@iswgibbs) and Emmanuel Candès arxiv.org/abs/2406.09714. Question: how can we provide practical and rigorous validity guarantees for LLMs? (1/12)
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