activity
20232026
most citedLarge Concept Models: Language Modeling in a Sentence Representation Space

10 citations · 13 across the 11 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

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…

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★ 1 cited

Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models

Kenza Benkirane, Laura Gongas, Shahar Pelles +5

Recent advancements in massively multilingual machine translation systems have significantly enhanced translation accuracy; however, even the best performing systems still generate…