activity
20222026
most citedNo Language Left Behind: Scaling Human-Centered Machine Translation

373 citations · 446 across the 24 of their papers we have counts for

collaborators
Showing 2024Show all

11 papers · 1 filter

cs.CL2024

2M-BELEBELE: Highly Multilingual Speech and American Sign Language Comprehension Dataset

Marta R. Costa-jussà, Bokai Yu, Pierre Andrews +7

We introduce the first highly multilingual speech and American Sign Language (ASL) comprehension dataset by extending BELEBELE. Our dataset covers 74 spoken languages at the inters…

cs.CL2024★ 10 cited

Large Concept Models: Language Modeling in a Sentence Representation Space

LCM team, Loïc Barrault, Paul-Ambroise Duquenne +18

LLMs have revolutionized the field of artificial intelligence and have emerged as the de-facto tool for many tasks. The current established technology of LLMs is to process input a…

cs.CL2024

Y-NQ: English-Yorùbá Evaluation dataset for Open-Book Reading Comprehension and Text Generation

Marta R. Costa-jussà, Joy Chen, Ifeoluwanimi Adebara +3

The purpose of this work is to share an English-Yorùbá evaluation dataset for open-book reading comprehension and text generation to assess the performance of models both in a high…

cs.CL2024

LCFO: Long Context and Long Form Output Dataset and Benchmarking

Marta R. Costa-jussà, Pierre Andrews, Mariano Coria Meglioli +10

This paper presents the Long Context and Form Output (LCFO) benchmark, a novel evaluation framework for assessing gradual summarization and summary expansion capabilities across di…

cond-mat.mtrl-sci2024

Comment on 'Attosecond electron microscopy and diffraction'

P. Baum, C. Ropers

A recent paper by Hui et al. (Ref. [1], Sci. Adv. 10, eadp5805 (2024)) claims the demonstration of 'Attosecond electron microscopy and diffraction' with laser-gated electron pulses…

cs.CL2024

On the Role of Speech Data in Reducing Toxicity Detection Bias

Samuel J. Bell, Mariano Coria Meglioli, Megan Richards +6

Text toxicity detection systems exhibit significant biases, producing disproportionate rates of false positives on samples mentioning demographic groups. But what about toxicity de…

cs.CL2024

Linguini: A benchmark for language-agnostic linguistic reasoning

Eduardo Sánchez, Belen Alastruey, Christophe Ropers +3

We propose a new benchmark to measure a language model's linguistic reasoning skills without relying on pre-existing language-specific knowledge. The test covers 894 questions grou…

cs.CL2024

FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data

Haoran Sun, Renren Jin, Shaoyang Xu +10

Large language models (LLMs) have demonstrated prowess in a wide range of tasks. However, many LLMs exhibit significant performance discrepancies between high- and low-resource lan…

cs.CL2024

Towards Massive Multilingual Holistic Bias

Xiaoqing Ellen Tan, Prangthip Hansanti, Carleigh Wood +3

In the current landscape of automatic language generation, there is a need to understand, evaluate, and mitigate demographic biases as existing models are becoming increasingly mul…

cs.CL2024

Towards Red Teaming in Multimodal and Multilingual Translation

Christophe Ropers, David Dale, Prangthip Hansanti +9

Assessing performance in Natural Language Processing is becoming increasingly complex. One particular challenge is the potential for evaluation datasets to overlap with training da…

cs.SD2024★ 1 cited

MuTox: Universal MUltilingual Audio-based TOXicity Dataset and Zero-shot Detector

Marta R. Costa-jussà, Mariano Coria Meglioli, Pierre Andrews +6

Research in toxicity detection in natural language processing for the speech modality (audio-based) is quite limited, particularly for languages other than English. To address thes…