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most citedCICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification

4 citations · 6 across the 6 of their papers we have counts for

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cs.CL2024★ 2 cited

Evaluating the Reliability of Self-Explanations in Large Language Models

Korbinian Randl, John Pavlopoulos, Aron Henriksson +1

This paper investigates the reliability of explanations generated by large language models (LLMs) when prompted to explain their previous output. We evaluate two kinds of such self…

cs.CL2024★ 4 cited

CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification

Korbinian Randl, John Pavlopoulos, Aron Henriksson +1

Contaminated or adulterated food poses a substantial risk to human health. Given sets of labeled web texts for training, Machine Learning and Natural Language Processing can be app…