3 papers
cs.CV2025
Fairness Without Labels: Pseudo-Balancing for Bias Mitigation in Face Gender Classification
Haohua Dong, Ana Manzano RodrÃguez, Camille Guinaudeau +1
Face gender classification models often reflect and amplify demographic biases present in their training data, leading to uneven performance across gender and racial subgroups. We…
cs.CV2025
Summarization of Multimodal Presentations with Vision-Language Models: Study of the Effect of Modalities and Structure
Théo Gigant, Camille Guinaudeau, Frédéric Dufaux
Vision-Language Models (VLMs) can process visual and textual information in multiple formats: texts, images, interleaved texts and images, or even hour-long videos. In this work, w…
cs.CL2024
Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free Metrics
Théo Gigant, Camille Guinaudeau, Marc Decombas +1
Automatic metrics are used as proxies to evaluate abstractive summarization systems when human annotations are too expensive. To be useful, these metrics should be fine-grained, sh…