Computer Science > Computation and Language
[Submitted on 21 May 2023 (v1), last revised 15 Mar 2024 (this version, v2)]
Title:Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models
View PDF HTML (experimental)Abstract:Recent progress in large language models (LLMs) has enabled the deployment of many generative NLP applications. At the same time, it has also led to a misleading public discourse that ``it's all been solved.'' Not surprisingly, this has, in turn, made many NLP researchers -- especially those at the beginning of their careers -- worry about what NLP research area they should focus on. Has it all been solved, or what remaining questions can we work on regardless of LLMs? To address this question, this paper compiles NLP research directions rich for exploration. We identify fourteen different research areas encompassing 45 research directions that require new research and are not directly solvable by LLMs. While we identify many research areas, many others exist; we do not cover areas currently addressed by LLMs, but where LLMs lag behind in performance or those focused on LLM development. We welcome suggestions for other research directions to include: this https URL
Submission history
From: Oana Ignat [view email][v1] Sun, 21 May 2023 19:06:30 UTC (145 KB)
[v2] Fri, 15 Mar 2024 20:10:51 UTC (2,386 KB)
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