LLM4SR: A Survey on Large Language Models for Scientific Research
In recent years, the rapid advancement of Large Language Models (LLMs) has
transformed the landscape of scientific research, offering unprecedented
support across various stages of the research cycle. This paper presents the
first systematic survey dedicated to exploring how LLMs are revolutionizing the
scientific research process. We analyze the unique roles LLMs play across four
critical stages of research: hypothesis discovery, experiment planning and
implementation, scientific writing, and peer reviewing. Our review
comprehensively showcases the task-specific methodologies and evaluation
benchmarks. By identifying current challenges and proposing future research
directions, this survey not only highlights the transformative potential of
LLMs, but also aims to inspire and guide researchers and practitioners in
leveraging LLMs to advance scientific inquiry. Resources are available at the
following repository: https://github.com/du-nlp-lab/LLM4SR
677f72d01178cdb06e266bc2
Ziming Luo
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2025-01-09T20:24:18.730Z
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Ziming Luo
user
Ziming2000
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Zonglin Yang
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2025-01-09T10:06:03.156Z
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Zonglin Yang
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ZonglinY
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Zexin Xu
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2025-01-09T06:55:13.005Z
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Zexin Xu
user
Ason-jay
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Wei Yang
admin_assigned
2025-01-09T20:24:27.358Z
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Wei Yang
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weiyang15
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Xinya Du
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2025-01-09T19:57:46.573Z
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Xinya Du
user
xinyadu
LLM4SR: A Survey on Large Language Models for Scientific Research
In recent years, the rapid advancement of Large Language Models (LLMs) has
transformed the landscape of scientific research, offering unprecedented
support across various stages of the research cycle. This paper presents the
first systematic survey dedicated to exploring how LLMs are revolutionizing the
scientific research process. We analyze the unique roles LLMs play across four
critical stages of research: hypothesis discovery, experiment planning and
implementation, scientific writing, and peer reviewing. Our review
comprehensively showcases the task-specific methodologies and evaluation
benchmarks. By identifying current challenges and proposing future research
directions, this survey not only highlights the transformative potential of
LLMs, but also aims to inspire and guide researchers and practitioners in
leveraging LLMs to advance scientific inquiry. Resources are available at the
following repository: https://github.com/du-nlp-lab/LLM4SR
LLMs are transforming scientific research across hypothesis discovery, experiment planning, writing, and reviewing, offering new methodologies and benchmarks while highlighting challenges for future research.
Large Language Models LLMs hypothesis discovery experiment planning scientific writing peer reviewing evaluation benchmarks