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ProbPlug

model1 events
papersSEP 10 04:00 UTC

ProbPlug: A Plugin Network for Reliable Confidence Estimates in LLM Binary Classification

Researchers have introduced ProbPlug, a plugin uncertainty network designed to attach to large language models and produce more trustworthy confidence scores for binary classification tasks. The work addresses the gap between strong LLM predictive performance and the reliability required for deployment in high-stakes settings. The paper is available as a preprint on arXiv.

llm/calibration/uncertainty/research