Defining a New NLP Playground
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 118 of its 186 references that are in the map. First posted on arXiv 31 Oct 2023.
Builds on
118 of 186 references.
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38 more
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