activity
20242026
most citedAnalyzing Political Bias in LLMs via Target-Oriented Sentiment Classification

1 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2026

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…

cs.CL2026

A Scalable Entity-Based Framework for Auditing Bias in Large Language Models

Akram Elbouanani, Aboubacar Tuo, Adrian Popescu

Existing approaches to bias evaluation in large language models (LLMs) trade ecological validity for statistical control, relying either on artificial prompts that poorly reflect r…

cs.CL2025★ 1 cited

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…

cs.CL2025★ 1 cited

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…

cs.IR2024

Quantifying User Coherence: A Unified Framework for Analyzing Recommender Systems Across Domains

Michaël Soumm, Alexandre Fournier-Montgieux, Adrian Popescu +1

The performance of Recommender Systems (RS) varies significantly across users, yet the underlying reasons for this variance remain poorly understood. This paper introduces a unifie…

cs.CL2024

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…