EMNLP 2023long findings0 citations
Defining a New NLP Playground
Sha Li, Chi Han, Pengfei Yu, Carl Edwards, Manling Li, Xingyao Wang, Yi Fung, Charles Yu
Abstract
The recent explosion of performance of large language models (LLMs) has changed the field of Natural Language Processing (NLP) more abruptly and seismically than any other shift in the field's 80 year history. This has resulted in concerns that the field will become homogenized and resource-intensive. This new status quo has put many academic researchers, especially PhD students, at a disadvantage. This paper aims to define a new NLP playground by proposing 20+ PhD-dissertation-worthy research directions, covering theoretical analysis, new and challenging problems, learning paradigms and interdisciplinary applications.
position papertheme tracklarge language models
BibTeX
@inproceedings{
li2023defining,
title={Defining a New {NLP} Playground},
author={Sha Li and Chi Han and Pengfei Yu and Carl Edwards and Manling Li and Xingyao Wang and Yi Fung and Charles Yu and Joel R. Tetreault and Eduard Hovy and Heng Ji},
booktitle={The 2023 Conference on Empirical Methods in Natural Language Processing},
year={2023},
url={https://openreview.net/forum?id=G0ZGGpSj7i}
}