10 citations · 13 across the 11 of their papers we have counts for
13 papers
Muse Glimmer 30B: An On-Device Agentic Model
Arash Ebrahim Abtahizadeh, Muna Aghamelu, Adil Ahmed +327
We introduce Muse Glimmer, an open-source 30B parameter causal language model with perception encoder, purpose-built for autonomous agentic tasks on consumer hardware. Muse Glimmer…
The IOL-AI Challenge: An Open Challenge towards Advancing Linguistic Reasoning
Eduardo Sánchez, Rita Berrada, Dan-Mircea Mirea +8
Reasoning in LLMs is overwhelmingly studied in domains that provide a model with rules: mathematics and code. Linguistic puzzles invert this: the solver must first discover the sys…
PolyFact: Comparing Consistency-Driven Post-training Methods for Cross-Lingual Factual Recall
Jonathan von Rad, Louis Arts, George Burgess +6
Large language models (LLMs) trained predominantly on English data encode substantial world knowledge, yet often fail to express it reliably in other languages, a phenomenon known…
Omnilingual MT: Machine Translation for 1,600 Languages
Omnilingual MT Team, Belen Alastruey, Niyati Bafna +29
High-quality machine translation (MT) can scale to hundreds of languages, setting a high bar for multilingual systems. However, compared to the world's 7,000 languages, current sys…
Translate, then Detect: Leveraging Machine Translation for Cross-Lingual Toxicity Classification
Samuel J. Bell, Eduardo Sánchez, David Dale +3
Multilingual toxicity detection remains a significant challenge due to the scarcity of training data and resources for many languages. While prior work has leveraged the translate-…
BOUQuET: dataset, Benchmark and Open initiative for Universal Quality Evaluation in Translation
The Omnilingual MT Team, Pierre Andrews, Mikel Artetxe +14
BOUQuET is a multi-way, multicentric and multi-register/domain dataset and benchmark, and a broader collaborative initiative. This dataset is handcrafted in 8 non-English languages…
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…
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…
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…
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…
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…
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…
Gender-specific Machine Translation with Large Language Models
Eduardo Sánchez, Pierre Andrews, Pontus Stenetorp +2
While machine translation (MT) systems have seen significant improvements, it is still common for translations to reflect societal biases, such as gender bias. Decoder-only Large L…