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20242026
most citedA Survey of Pre-trained Language Models for Processing Scientific Text

4 citations · 8 across the 19 of their papers we have counts for

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5 papers · 1 filter

cs.CL2024

Self-Compositional Data Augmentation for Scientific Keyphrase Generation

Mael Houbre, Florian Boudin, Beatrice Daille +1

State-of-the-art models for keyphrase generation require large amounts of training data to achieve good performance. However, obtaining keyphrase-labeled documents can be challengi…

cs.CL2024★ 1 cited

Unsupervised Domain Adaptation for Keyphrase Generation using Citation Contexts

Florian Boudin, Akiko Aizawa

Adapting keyphrase generation models to new domains typically involves few-shot fine-tuning with in-domain labeled data. However, annotating documents with keyphrases is often proh…

cs.CL2024

MoreHopQA: More Than Multi-hop Reasoning

Julian Schnitzler, Xanh Ho, Jiahao Huang +3

Most existing multi-hop datasets are extractive answer datasets, where the answers to the questions can be extracted directly from the provided context. This often leads models to…

cs.CL2024

CASIMIR: A Corpus of Scientific Articles enhanced with Multiple Author-Integrated Revisions

Leane Jourdan, Florian Boudin, Nicolas Hernandez +1

Writing a scientific article is a challenging task as it is a highly codified and specific genre, consequently proficiency in written communication is essential for effectively con…

cs.CL2024★ 4 cited

A Survey of Pre-trained Language Models for Processing Scientific Text

Xanh Ho, Anh Khoa Duong Nguyen, An Tuan Dao +6

The number of Language Models (LMs) dedicated to processing scientific text is on the rise. Keeping pace with the rapid growth of scientific LMs (SciLMs) has become a daunting task…