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20082026
most citedLLaMA: Open and Efficient Foundation Language Models

4k citations · 13.4k across the 76 of their papers we have counts for

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Showing 2019 · cs.CLShow all

5 papers · 2 filters

cs.CL2019★ 461 cited

Libri-Light: A Benchmark for ASR with Limited or No Supervision

Jacob Kahn, Morgane Rivière, Weiyi Zheng +12

We introduce a new collection of spoken English audio suitable for training speech recognition systems under limited or no supervision. It is derived from open-source audio books f…

cs.CL2019★ 246 cited

CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau +4

Pre-training text representations have led to significant improvements in many areas of natural language processing. The quality of these models benefits greatly from the size of t…

cs.CL2019

CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB

Holger Schwenk, Guillaume Wenzek, Sergey Edunov +2

We show that margin-based bitext mining in a multilingual sentence space can be applied to monolingual corpora of billions of sentences. We are using ten snapshots of a curated com…

cs.CL2019★ 8 cited

Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment

Piotr Bojanowski, Onur Celebi, Tomas Mikolov +2

In this paper, we focus on the problem of adapting word vector-based models to new textual data. Given a model pre-trained on large reference data, how can we adapt it to a smaller…

cs.CL2019★ 4 cited

Cooperative Learning of Disjoint Syntax and Semantics

Serhii Havrylov, Germán Kruszewski, Armand Joulin

There has been considerable attention devoted to models that learn to jointly infer an expression's syntactic structure and its semantics. Yet, \citet{NangiaB18} has recently shown…