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Théo Gigant

2 accepted papers

2024

Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free Metrics

EMNLP 2024main

Automatic metrics are used as proxies to evaluate abstractive summarization systems when human annotations are too expensive. To be useful, these metrics should be fine-grained, show a high correlation with human annotations, and ideally be independant of reference quality; however, most standard ev…

2022

BigBio: A Framework for Data-Centric Biomedical Natural Language Processing

NeurIPS 2022accept

Training and evaluating language models increasingly requires the construction of meta-datasets -- diverse collections of curated data with clear provenance. Natural language prompting has recently lead to improved zero-shot generalization by transforming existing, supervised datasets into a variety…