PPaperPicks

Cynthia Breazeal

MIT, Cambridge, USA

22 papers at tracked venues · 15 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Bridging Technology and Policy Design: A Robot Policy Design Toolkit to Support Collaborations in Policymaking
    CHI 2026 ·
    Anastasia Kouvaras Ostrowski
  2. Once Upon AI Time: Combining Narrative and Games for Early AI Literacy
  3. Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs
  4. Situating Youth Agency in Designing AI & Art Policies
  5. Advancing Research on Equitable AI Education Through a Focus on Implementation: Insights from a Middle School Computer Vision Module Beta-Test
  6. Aligning Dialogue Agents with Global Feedback via Large Language Model Multimodal Reward Decomposition
  7. BehaviorSFT: Behavioral Token Conditioning for Health Agents Across the Proactivity Spectrum
  8. Co-designing Large Language Model Tools for Project-Based Learning with K12 Educators
  9. Designing Characters with AI: An Art & AI Learning Activity
  10. Model AI Assignments 2025
  11. Supporting AI Literacy Teaching Through the Development of Assessments for Classroom Use
  12. The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function
  13. VocalAgent: Large Language Models for Vocal Health Diagnostics with Safety-Aware Evaluation
  14. Words Like Knives: Backstory-Personalized Modeling and Detection of Violent Communication
  15. A Picture Is Worth a Thousand Words: Co-designing Text-to-Image Generation Learning Materials for K-12 with Educators
  16. Constructing Dreams Using Generative AI
  17. Dr. R.O. Bott Will See You Now: Exploring AI for Wellbeing with Middle School Students
  18. EmpathicStories++: A Multimodal Dataset for Empathy Towards Personal Experiences
  19. Global Reward to Local Rewards: Multimodal-Guided Decomposition for Improving Dialogue Agents
  20. HEART-felt Narratives: Tracing Empathy and Narrative Style in Personal Stories with LLMs
  21. MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making
  22. PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits