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Louis Martin

Facebook AI Research

9 papers hereh-index 1122.7k citations26 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author5

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CL9
affiliations
  • Facebook AI Research
  • Inria
same name
  • Louis Martin — 13 papers, h 9
  • Louis Martin — 4 papers, h 4
  • Louis Martin — 2 papers, h 2
  • Louis Martin — 2 papers, h 3
  • Louis Martin — 1 paper
  • Louis Martin — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedLlama 2: Open Foundation and Fine-Tuned Chat Models

2.7k citations · 3.9k across the 8 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CL2019★ 752 cited

CamemBERT: a Tasty French Language Model

Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez +5

Pretrained language models are now ubiquitous in Natural Language Processing. Despite their success, most available models have either been trained on English data or on the concat…

cs.CL2019★ 66 cited

Controllable Sentence Simplification

Louis Martin, Benoît Sagot, Éric de la Clergerie +1

Text simplification aims at making a text easier to read and understand by simplifying grammar and structure while keeping the underlying information identical. It is often conside…

cs.CL2019

EASSE: Easier Automatic Sentence Simplification Evaluation

Fernando Alva-Manchego, Louis Martin, Carolina Scarton +1

We introduce EASSE, a Python package aiming to facilitate and standardise automatic evaluation and comparison of Sentence Simplification (SS) systems. EASSE provides a single acces…

cs.CL2019

Reference-less Quality Estimation of Text Simplification Systems

Louis Martin, Samuel Humeau, Pierre-Emmanuel Mazaré +3

The evaluation of text simplification (TS) systems remains an open challenge. As the task has common points with machine translation (MT), TS is often evaluated using MT metrics su…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.