Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions
Description
Re3-Sci2.0, a new large-scale dataset of 1,780 scientific document revisions with over 94k labeled edits intent. This dataset is a supplement to the EMNLP24 paper: Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions. Please refer to the paper for more details (https://arxiv.org/abs/2410.02028).
DFG subject classification
4.43-04 Künstliche Intelligenz und Maschinelle Lernverfahren4.43-05 Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computing
Related third party funded projects
EC/HE | 101054961 | InterTextDFG | GU798/28-1 | PEER: Eine computerg
HMWK | III L6-519/05.000.002-(0002) | LOEWE-Spitzenprofess
Related Resources
- Is supplement to: arXiv:https://arxiv.org/abs/2410.02028
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