Publications

  1. Learning the ARTS of Search for Automated Discovery
    Gurusha Juneja, Arnav Kumar Jain, Deepak Nathani, William Yang Wang, Xin Eric Wang
    Preprint 2026 Paper / Project page
  2. Adversarial Training for Process Reward Models
    Gurusha Juneja, Deepak Nathani, William Yang Wang
  3. Tournament Style RL: Stabilizing Policy Optimization on Non Verifiable Problems
    Gurusha Juneja, Shubham Milind Phal, Jennifer She, Lisa Wang, Dorsa Sadigh, Anca Dragan, William Yang Wang
  4. Policies Permitting LLM Use for Polishing Peer Reviews Are Currently Not Enforceable
    Rounak Saha, Gurusha Juneja*, Dayita Chaudhuri*, Naveeja Sajeevan*, Nihar B. Shah, Danish Pruthi
  5. EnactToM: An Evolving Benchmark for Functional Theory of Mind in Embodied Agents
    Gurusha Juneja, Dylan Lu, Saaket Agashe, Parth Diwane, Edward Gunn, Jayanth Srinivasa, Gaowen Liu, William Yang Wang, Yali Du, Xin Eric Wang
    Preprint 2026 Paper
  6. MAGPIE: A Benchmark for Multi-Agent Contextual Privacy Evaluation
    Gurusha Juneja, Jayanth Naga Sai Pasupulati, Alon Albalak, Wenyue Hua, William Yang Wang
    Preprint 2025 Paper
  7. Task Facet Learning: A Structured Approach to Prompt Optimization
    Gurusha Juneja, Gautam Jajoo, Nagarajan Natarajan, Hua Li, Jian Jiao, Amit Sharma
  8. LM2: A Simple Society of Language Models Solves Complex Reasoning
    Gurusha Juneja*, Subhabrata Dutta*, Tanmoy Chakraborty
  9. A Universal Prompt Generator for Large Language Models
    Gurusha Juneja*, Amit Sharma
  10. Small Language Models Fine-tuned to Coordinate Larger Language Models Improve Complex Reasoning
    Gurusha Juneja*, Subhabrata Dutta*, Soumen Chakrabarti, Sunny Manchanda, Tanmoy Chakraborty
  11. Prompt-Propose-Verify: A Reliable Synthetic Data Generation Framework using Foundational Models
    Gurusha Juneja*, Sukrit Kumar*