1 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
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…
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…