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Korbinian Randl

2 accepted papers

2025

FoodSafeSum: Enabling Natural Language Processing Applications for Food Safety Document Summarization and Analysis

EMNLP 2025

Food safety demands timely detection, regulation, and public communication, yet the lack of structured datasets hinders Natural Language Processing (NLP) research. We present and release a new dataset of human-written and Large Language Model (LLM)-generated summaries of food safety documents, plus

Cited by 2SourcePDFScholar
2024

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

ACL 2024findings

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 applied to automatically detect such risks. We publish a dataset of 7,546 short texts describing public food recall announc…