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What We Talk About When We Talk About LMs: Implicit Paradigm Shifts and the Ship of Language Models

S Zhu, JM Rzeszotarski - arXiv preprint arXiv:2407.01929, 2024 - arxiv.org
The term Language Models (LMs), as a time-specific collection of models of interest, is
constantly reinvented, with its referents updated much like the $\textit {Ship of Theseus} …
被引用次数：1 相关文章 所有 2 个版本
[PDF] arxiv.org

Transforming Scholarly Landscapes: Influence of Large Language Models on Academic Fields beyond Computer Science

A Pramanick, Y Hou, SM Mohammad… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) have ushered in a transformative era in Natural Language
Processing (NLP), reshaping research and extending NLP's influence to other fields of …
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The Nature of NLP: Analyzing Contributions in NLP Papers

A Pramanick, Y Hou, SM Mohammad… - arXiv preprint arXiv …, 2024 - arxiv.org
Natural Language Processing (NLP) is a dynamic, interdisciplinary field that integrates
intellectual traditions from computer science, linguistics, social science, and more. Despite …
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Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards

F Şahinuç, TT Tran, Y Grishina, Y Hou, B Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
Scientific leaderboards are standardized ranking systems that facilitate evaluating and
comparing competitive methods. Typically, a leaderboard is defined by a task, dataset, and …
相关文章 所有 4 个版本