
Sign up to save your podcasts
Or
This paper presents Set-LLM, an architectural adaptation for large language models that ensures permutation invariance, addressing order sensitivity and improving performance in various applications.
https://arxiv.org/abs//2505.15433
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
5
33 ratings
This paper presents Set-LLM, an architectural adaptation for large language models that ensures permutation invariance, addressing order sensitivity and improving performance in various applications.
https://arxiv.org/abs//2505.15433
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
706 Listeners
202 Listeners
280 Listeners
72 Listeners
430 Listeners