kahne/NonAutoregGenProgress
Tracking the progress in non-autoregressive generation (translation, transcription, etc.)
This project helps researchers and practitioners in natural language processing stay up-to-date with the latest advancements in non-autoregressive generation. It compiles and organizes academic papers from major conferences and archives, specifically focusing on machine translation, speech recognition, and text generation. The audience is primarily NLP researchers, academics, and machine learning engineers working on these types of sequence generation problems.
302 stars. No commits in the last 6 months.
Use this if you need a curated list of research papers on non-autoregressive models for tasks like machine translation or speech transcription, organized by year and publication venue.
Not ideal if you are looking for code implementations, tutorials, or a general overview of NLP, as it focuses specifically on tracking academic progress in a niche area.
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302
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CC0-1.0
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Last pushed
Mar 15, 2023
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