2 papers
cs.LG2026
Mitigating Gender Bias in Depression Detection via Counterfactual Inference
Mingxuan Hu, Hongbo Ma, Xinlan Wu +3
Audio-based depression detection models have demonstrated promising performance but often suffer from gender bias due to imbalanced training data. Epidemiological statistics show a…
cs.CL2026
RAM-SD: Retrieval-Augmented Multi-agent framework for Sarcasm Detection
Ziyang Zhou, Ziqi Liu, Yan Wang +2
Sarcasm detection remains a significant challenge due to its reliance on nuanced contextual understanding, world knowledge, and multi-faceted linguistic cues that vary substantiall…