PPaperPicks

Fei Fang

Carnegie Mellon University, Pittsburgh, PA, USA

21 papers at tracked venues · 17 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Large Language Models in Peer-Run Community Behavioral Health Services: Understanding Peer Specialists and Service Users' Perspectives on Opportunities, Risks, and Mitigation Strategies
  2. PeerCoPilot: A Language Model-Powered Assistant for Behavioral Health Organizations
  3. RescueLens: LLM-Powered Triage and Action on Volunteer Feedback for Food Rescue
  4. Safe Multi-agent Reinforcement Learning with Natural Language Constraints
  5. CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy
  6. Deviate or Not: Learning Coalition Structures with Multiple-bit Observations in Games
  7. Improving Community-Participated Patrol for Anti-Poaching
  8. LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning
  9. M³HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality
  10. REALM: A Dataset of Real-World LLM Use Cases
  11. TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking
  12. Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning
  13. Global Rewards in Restless Multi-Armed Bandits
  14. Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
  15. Learning Coalition Structures with Games
  16. MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning
  17. MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure
  18. Multi-Agent Imitation Learning: Value is Easy, Regret is Hard
  19. PATIENT-ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals
  20. Predicting and Presenting Task Difficulty for Crowdsourcing Food Rescue Platforms
  21. Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages