3 papers
cs.CL2025
Detecting Linguistic Bias in Government Documents Using Large language Models
Milena de Swart, Floris den Hengst, Jieying Chen
This paper addresses the critical need for detecting bias in government documents, an underexplored area with significant implications for governance. Existing methodologies often…
cs.AI2025
SHARPIE: A Modular Framework for Reinforcement Learning and Human-AI Interaction Experiments
Hüseyin Aydın, Kevin Godin-Dubois, Libio Goncalvez Braz +6
Reinforcement learning (RL) offers a general approach for modeling and training AI agents, including human-AI interaction scenarios. In this paper, we propose SHARPIE (Shared Human…
cs.CL2024
Conformal Intent Classification and Clarification for Fast and Accurate Intent Recognition
Floris den Hengst, Ralf Wolter, Patrick Altmeyer +1
We present Conformal Intent Classification and Clarification (CICC), a framework for fast and accurate intent classification for task-oriented dialogue systems. The framework turns…