Can Large Language Models Unlock Novel Scientific Research Ideas?
"An idea is nothing more nor less than a new combination of old elements"
(Young, J.W.). The widespread adoption of Large Language Models (LLMs) and
publicly available ChatGPT have marked a significant turning point in the
integration of Artificial Intelligence (AI) into people's everyday lives. This
study explores the capability of LLMs in generating novel research ideas based
on information from research papers. We conduct a thorough examination of 4
LLMs in five domains (e.g., Chemistry, Computer, Economics, Medical, and
Physics). We found that the future research ideas generated by Claude-2 and
GPT-4 are more aligned with the author's perspective than GPT-3.5 and Gemini.
We also found that Claude-2 generates more diverse future research ideas than
GPT-4, GPT-3.5, and Gemini 1.0. We further performed a human evaluation of the
novelty, relevancy, and feasibility of the generated future research ideas.
This investigation offers insights into the evolving role of LLMs in idea
generation, highlighting both its capability and limitations. Our work
contributes to the ongoing efforts in evaluating and utilizing language models
for generating future research ideas. We make our datasets and codes publicly
available.
66e264a631fa3bf05b28a448
Sandeep Kumar
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2024-09-12T07:11:59.496Z
63208c472b77ea86587e3096
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Kumar
user
sandeep123
66e264a631fa3bf05b28a449
Tirthankar Ghosal
admin_assigned
2024-09-12T08:54:53.207Z
65ae8915c92e09d5cd6a402f
https://cdn-avatars.huggingface.co/v1/production/uploads/65ae8915c92e09d5cd6a402f/i8ZkWOXOVojPMyOXGKySc.jpeg
Tirthankar Ghosal
user
TirthankarSlg
66e264a631fa3bf05b28a44a
Vinayak Goyal
claimed_verified
2024-09-12T09:06:58.681Z
661164d8db728ea9676dbb8e
/avatars/35710c69ef0070a2730a21928250dec6.svg
Vinayak Goyal
user
Vinayak-goyal
66e264a631fa3bf05b28a44b
Asif Ekbal
Can Large Language Models Unlock Novel Scientific Research Ideas?
"An idea is nothing more nor less than a new combination of old elements"
(Young, J.W.). The widespread adoption of Large Language Models (LLMs) and
publicly available ChatGPT have marked a significant turning point in the
integration of Artificial Intelligence (AI) into people's everyday lives. This
study explores the capability of LLMs in generating novel research ideas based
on information from research papers. We conduct a thorough examination of 4
LLMs in five domains (e.g., Chemistry, Computer, Economics, Medical, and
Physics). We found that the future research ideas generated by Claude-2 and
GPT-4 are more aligned with the author's perspective than GPT-3.5 and Gemini.
We also found that Claude-2 generates more diverse future research ideas than
GPT-4, GPT-3.5, and Gemini 1.0. We further performed a human evaluation of the
novelty, relevancy, and feasibility of the generated future research ideas.
This investigation offers insights into the evolving role of LLMs in idea
generation, highlighting both its capability and limitations. Our work
contributes to the ongoing efforts in evaluating and utilizing language models
for generating future research ideas. We make our datasets and codes publicly
available.
LLMs, particularly Claude-2, generate more novel and diverse research ideas compared to other models, as assessed through human evaluation across multiple domains.
Large Language Models ChatGPT Artificial Intelligence future research ideas Claude-2 GPT-4 GPT-3.5 Gemini human evaluation novelty relevance feasibility