7 papers
Generating Natural-Language Surgical Feedback: From Structured Representation to Domain-Grounded Evaluation
Firdavs Nasriddinov, Rafal Kocielnik, Anima Anandkumar +1
High-quality intraoperative feedback from a surgical trainer is pivotal for improving trainee performance and long-term skill acquisition. Automating natural, trainer-style feedbac…
Beyond Ethics: How Inclusive Innovation Drives Economic Returns in Medical AI
Balagopal Unnikrishnan, Ariel Guerra Adames, Amin Adibi +10
While ethical arguments for fairness in healthcare AI are well-established, the economic and strategic value of inclusive design remains underexplored. This perspective introduces…
The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs
Pengrui Han, Rafal Kocielnik, Peiyang Song +4
Personality traits have long been studied as predictors of human behavior. Recent advances in Large Language Models (LLMs) suggest similar patterns may emerge in artificial systems…
Prosocial Behavior Detection in Player Game Chat: From Aligning Human-AI Definitions to Efficient Annotation at Scale
Rafal Kocielnik, Min Kim, Penphob +5
Detecting prosociality in text--communication intended to affirm, support, or improve others' behavior--is a novel and increasingly important challenge for trust and safety systems…
Self-Anchored Attention Model for Sample-Efficient Classification of Prosocial Text Chat
Zhuofang Li, Rafal Kocielnik, Fereshteh Soltani +4
Millions of players engage daily in competitive online games, communicating through in-game chat. Prior research has focused on detecting relatively small volumes of toxic content…
Context-Aware Toxicity Detection in Multiplayer Games: Integrating Domain-Adaptive Pretraining and Match Metadata
Adrien Schurger-Foy, Rafal Dariusz Kocielnik, Caglar Gulcehre +1
The detrimental effects of toxicity in competitive online video games are widely acknowledged, prompting publishers to monitor player chat conversations. This is challenging due to…