1 citations · 2 across the 8 of their papers we have counts for
9 papers
Distill Locally, Schedule Globally: Flow Maps for Few-Step Text-to-Speech
Yentl Collin, Evan Dufraisse, Amr Mohamed +3
Flow-matching text-to-speech (TTS) models achieve high synthesis quality but require many neural function evaluations (NFEs) to integrate their generative trajectories. Recent few-…
Jais 2: A Family of Arabic-Centric Open Large Language Models
Mohamed Anwar, Abed Alhakim Freihat, George Ibrahim +57
Jais 2 is a family of Arabic-centric large language models developed jointly by MBZUAI, Cerebras, and Inception, designed to advance Arabic-centric language modeling, with strong p…
Triangulating Temporal Dynamics in Multilingual Swiss Online News
Bros Victor, Dufraisse Evan, Popescu Adrian +1
Analyzing news coverage in multilingual societies can offer valuable insights into the dynamics of public discourse and the development of collective narratives, yet comprehensive…
Shorter but not Worse: Frugal Reasoning via Easy Samples as Length Regularizers in Math RLVR
Abdelaziz Bounhar, Hadi Abdine, Evan Dufraisse +5
Large language models (LLMs) trained for step-by-step reasoning often become excessively verbose, raising inference cost. Standard Reinforcement Learning with Verifiable Rewards (R…
CEA-LIST at CheckThat! 2025: Evaluating LLMs as Detectors of Bias and Opinion in Text
Akram Elbouanani, Evan Dufraisse, Aboubacar Tuo +1
This paper presents a competitive approach to multilingual subjectivity detection using large language models (LLMs) with few-shot prompting. We participated in Task 1: Subjectivit…
The Structure-Content Trade-off in Knowledge Graph Retrieval
Valentin Six, Evan Dufraisse, Gaël de Chalendar
Large Language Models (LLMs) increasingly rely on knowledge graphs for factual reasoning, yet how retrieval design shapes their performance remains unclear. We examine how question…
Analyzing Political Bias in LLMs via Target-Oriented Sentiment Classification
Akram Elbouanani, Evan Dufraisse, Adrian Popescu
Political biases encoded by LLMs might have detrimental effects on downstream applications. Existing bias analysis methods rely on small-size intermediate tasks (questionnaire answ…
The Lucie-7B LLM and the Lucie Training Dataset: Open resources for multilingual language generation
Olivier Gouvert, Julie Hunter, Jérôme Louradour +6
We present both the Lucie Training Dataset and the Lucie-7B foundation model. The Lucie Training Dataset is a multilingual collection of textual corpora centered around French and…
Combining Objective and Subjective Perspectives for Political News Understanding
Evan Dufraisse, Adrian Popescu, Julien Tourille +2
Researchers and practitioners interested in computational politics rely on automatic content analysis tools to make sense of the large amount of political texts available on the We…