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23:35
YouTube
Xiaol.x
Why Are Linear RNNs More Parallelizable? | PaperX Podcast #34
🎙️ PaperX Podcast discusses "Why Are Linear RNNs More Parallelizable?" by William Merrill, Hongjian Jiang, Yanhong Li, Anthony Lin, and Ashish Sabharwal (Allen Institute for AI, RPTU, MPI-SWS). This paper provides a tight theoretical connection between types of RNNs and standard complexity classes, revealing fundamental tradeoffs between ...
93 views
1 month ago
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