3 papers
cs.LG2024
Cardinality-Aware Set Prediction and Top- Classification
Corinna Cortes, Anqi Mao, Christopher Mohri +2
We present a detailed study of cardinality-aware top- classification, a novel approach that aims to learn an accurate top- set predictor while maintaining a low cardinality.…
cs.LG2024
Language Models with Conformal Factuality Guarantees
Christopher Mohri, Tatsunori Hashimoto
Guaranteeing the correctness and factuality of language model (LM) outputs is a major open problem. In this work, we propose conformal factuality, a framework that can ensure high…
cs.LG2023
Learning to Reject with a Fixed Predictor: Application to Decontextualization
Christopher Mohri, Daniel Andor, Eunsol Choi +1
We study the problem of classification with a reject option for a fixed predictor, applicable in natural language processing. We introduce a new problem formulation for this scenar…