CAFP: Post-Processing for Group Fairness in ML Models
Discover CAFP, a model-agnostic post-processing method that ensures group fairness in ML predictions without retraining or modifying models.
EmoMAS: Emotion-Aware AI for Edge Negotiation Success
Discover EmoMAS, an emotion-aware multi-agent AI system that boosts high-stakes edge negotiation with Bayesian orchestration and strategic decision-making.
UI-in-the-Loop: Enhancing Multimodal GUI Reasoning
Discover the UI-in-the-Loop paradigm improving multimodal GUI reasoning by integrating screen, UI elements, and actions for better interface understanding.
Explaining Neural Networks in Preference Learning with ILP
Discover how Inductive Logic Programming (ILP) explains neural networks in preference learning, enhancing interpretability and model fidelity.
Human vs AI Evaluation of LLM-Generated Disinformation Risks
Explore the gaps between human and AI judges in assessing risks of LLM-generated disinformation and why human evaluation remains crucial.