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Open Access

Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions

Thumbnail Image

Files

data_Re3-Sci2.0.zip (Re3-Sci2.0_v1) (141.13 MB)

Date

2024-10-02

Type

Dataset

Authors

Ruan, Qian
Kuznetsov, Ilia
Gurevych, Iryna

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

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).

Keywords

Document Revision, Edit Annotations, Peer Review

Citation

Identifier

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4355

Endorsement

Related Resources

Is Supplement To
https://arxiv.org/abs/2410.02028

DFG Classification

4.43-04 Künstliche Intelligenz und Maschinelle Lernverfahren
4.43-05 Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computing

Project(s)

EC/HE | 101054961 | InterText
DFG | GU798/28-1 | PEER: Eine computerg
HMWK | III L6-519/05.000.002-(0002) | LOEWE-Spitzenprofess

Faculty

Collections

License

CC-BY-NC 4.0 - Attribution-NonCommercial 4.0 International
Except where otherwise noted, this license is described as CC-BY-NC 4.0 - Attribution-NonCommercial 4.0 International