Research Papers Interpretative Interfaces: Designing for AI-Mediated Reading Practices and the Knowledge Commons
Research Papers Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning
Research Papers Can large language models assist choice modelling? Insights into prompting strategies and current models capabilities
Research Papers Electrodermal Activity as a Unimodal Signal for Aerobic Exercise Detection in Wearable Sensors
Research Papers COGNAC at SemEval-2026 Task 5: LLM Ensembles for Human-Level Word Sense Plausibility Rating in Challenging Narratives
Research Papers AsgardBench – Evaluating Visually Grounded Interactive Planning Under Minimal Feedback
Research Papers The Internet of Physical AI Agents: Interoperability, Longevity, and the Cost of Getting It Wrong