English

Defining a New NLP Playground

Computation and Language 2023-11-01 v1

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. The 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.

Keywords

Cite

@article{arxiv.2310.20633,
  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 R. Fung and Charles Yu and Joel R. Tetreault and Eduard H. Hovy and Heng Ji},
  journal= {arXiv preprint arXiv:2310.20633},
  year   = {2023}
}

Comments

EMNLP Findings 2023 "Theme Track: Large Language Models and the Future of NLP"

R2 v1 2026-06-28T13:07:39.727Z