3 papers
cs.CV2026
Faithful Grounded Visual Reasoning via Learned Proxy-Tokens
Tom Hodemon, Mohamed Chaouch, Aboubacar Tuo +1
Multimodal Large Language Models (MLLMs) have achieved remarkable success in Visual Question Answering (VQA), yet their "black-box" nature hinders deployment in critical domains. G…
cs.CL2026
A Scalable Entity-Based Framework for Auditing Bias in LLMs
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
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…