4 papers
When Does Intrinsic Self-Correction Help? A Task-Sensitive Analysis
Elroy Stav, Dvir Berlowitz, Maayan Orner +1
Intrinsic self-correction (SC) aims to improve large language model outputs by prompting a model to revisit its own initial answer without external feedback. Recent studies have qu…
Automated Mediator for Human Negotiation: Pre-Mediation via a Structured LLM Pipeline
Jamie Bergen, Sarit Kraus
Pre-mediation, the preparatory phase preceding direct human negotiation, plays a critical role in achieving mutually beneficial agreements, yet is often omitted due to cost, time,…
Communicate-Predict-Act: Evaluating Social Intelligence of Agents
David Shoresh, Sarit Kraus, Yonatan Loewenstein
As large language model (LLM) agents become more prevalent in real world social settings, social intelligence will play an increasingly critical role. But social intelligence is st…
Supporting Calibrated Reliance in Human-AI Collaboration: Different Strategies for Different Tasks
Ruth Cohen, Lu Feng, Ayala Bloch +1
As AI systems increasingly support human decision making, a central challenge is determining what information helps people recognize when to rely on AI predictions and when to ques…