
Sign up to save your podcasts
Or


This study evaluates large language models' ability to generate novel research ideas, finding LLMs produce more novel but less feasible ideas than human experts, highlighting challenges in research agent development.
https://arxiv.org/abs//2409.04109
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
By Igor Melnyk5
33 ratings
This study evaluates large language models' ability to generate novel research ideas, finding LLMs produce more novel but less feasible ideas than human experts, highlighting challenges in research agent development.
https://arxiv.org/abs//2409.04109
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

957 Listeners

1,956 Listeners

438 Listeners

112,401 Listeners

10,015 Listeners

5,522 Listeners

210 Listeners

51 Listeners

93 Listeners

471 Listeners