Language, speech & LLMs· 2014
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
On the reading lists
- #340 in the Top 500 (2026 edition)
- #53 in Language, speech & LLMs (2026 edition)
Why it matters
Introduced the RNN encoder-decoder and GRU, foundational components of early neural translation.
Condensed from the expert lists' notes.
The record
- First released
- 2014 (from arXiv 1406.1078)
- Citations
- 27,927 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- the chatgpt list only
- Score
- 0.417 · computed rank 340 · consensus 0.34, must-read 0, citations percentile 0.9 (2010s · language), awards 0, existing lists 0. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.