
Sign up to save your podcasts
Or


Autoregressive language models exhibit time asymmetry in predicting next versus previous tokens, contrary to information theory expectations. Theoretical framework and implications are discussed.
https://arxiv.org/abs//2401.17505
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
Autoregressive language models exhibit time asymmetry in predicting next versus previous tokens, contrary to information theory expectations. Theoretical framework and implications are discussed.
https://arxiv.org/abs//2401.17505
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

951 Listeners

1,964 Listeners

439 Listeners

112,586 Listeners

10,043 Listeners

5,531 Listeners

213 Listeners

51 Listeners

93 Listeners

473 Listeners