3 papers
cs.CL2026
Learning Sexism Detection Using Multi-Agent Perspectivist Preference Optimization
Hadi Mohammadi, Tina Shahedi, Robert A. Bagheri +2
When people label text for sexism, they often disagree, and not because some of them are wrong: they genuinely perceive sexism differently. Most NLP systems discard this disagreeme…
cs.CL2026
Reliability-Aware Sexism Detection: Combining DPO with Annotator Agreement and Token-Level Confidence Scoring
Hadi Mohammadi, Shihan Wang, Masoume M. Raeissi +1
The detection of online sexism remains an open problem. Sexism detection is inherently subjective, yet most existing systems reduce multi-annotator labels to a single majority deci…
cs.MA2018
Cooperative Queuing Policies for Effective Human-Multi-Robot Interaction
Masoume M. Raeissi, Alessandro Farinelli
We consider multi-robot applications, where a team of robots can ask for the intervention of a human operator to handle difficult situations. As the number of requests grows, team…