CAMP Lab

Publications

Peer-reviewed research from the CAMP Lab.

2026

  1. Energy-Based Transfer for Reinforcement Learning

    Z. Deng, J. Ghosh, F. Xie, K. Cheng, Y. Lu, K. Sycara, J. Campbell

    CoLLAs

    Reinforcement Learning
    PDF arXiv

  2. PoseShield: Neural Collision Fields for Human Self-Collision Resolution

    Z. Li, Z. Deng, Y. Shen, L. Gui, M. Xie, J. Campbell, X. Gao, K. Wu, Z. Pan, A. Bera

    ECCV

    Computer Vision
    arXiv

  3. CDE: Concept-Driven Exploration for Reinforcement Learning

    L. Mao, A. Liu, R. Zabounidis, Y. Niu, Z. Kingston, J. Campbell

    IROS

    Reinforcement LearningInterpretabilityRobotics
    arXiv Website

  4. Bayesian Social Deduction with Graph-Informed Language Models

    S. Rahimirad*, G. Gergerli*, L. Romero, A. Qian, M. Olson, S. Stepputtis, J. Campbell

    ACL

    Theory of MindInterpretabilityLanguage Models
    PDF Poster Code arXiv Website

  5. LieCraft: A Multi-Agent Framework for Evaluating Deceptive Capabilities in Language Models

    M. Olson, N. Ratzlaff, M. Hinck, T. Nguyen, V. Lal, J. Campbell, S. Stepputtis, S. Tseng

    AAAI

    Language Models
    arXiv

  6. HyperAdapt: Simple High-Rank Adaptation

    A. Gurung, J. Campbell

    TMLR

    Language Models
    arXiv

  7. Disentangled Concept-Residual Models: Bridging the Interpretability-Performance Gap for Incomplete Concept Sets

    R. Zabounidis, I. Oguntola, K. Zhao, J. Campbell, W. Kim, S. Stepputtis, K. Sycara

    TMLR

    InterpretabilityComputer Vision
    PDF

  8. MAPL: Multi-Objective Preference Learning for Robot Locomotion

    X. Chen, M. Lin, S. Shi, J. Campbell

    Preprint

    Reinforcement LearningLanguage Models
    PDF

  9. Sparse Autoencoders for Interpretable Out-of-Distribution Detection

    A. Karmacharya*, L. Luschwitz*, L. Romero, Y. Niu, J. Campbell

    Preprint

    Interpretability
    PDF

  10. Bi-Phase Training: Learning Efficiently in High Dimensions

    A. Gurung, J. Campbell

    Preprint

    Language Models
    PDF

2025

  1. Model-Agnostic Policy Explanations with Large Language Models

    Z. Xi-Jia, Y. Guo, S. Chen, S. Stepputtis, M. Gombolay, K. Sycara, J. Campbell

    COLM

    InterpretabilityLanguage Models
    arXiv

  2. Sparse Mixture-of-Experts for Non-Uniform Noise Reduction in MRI Images

    Z. Deng, J. Campbell

    WACV Workshop on Image Quality

    Computer Vision
    arXiv

  3. Speaking the Language of Teamwork: LLM-Guided Credit Assignment in Multi-Agent Reinforcement Learning

    M. Lin, S. Shi, Y. Guo, B. Chalaki, V. Tadiparthi, E. Pari, S. Stepputtis, J. Campbell, K. Sycara

    Preprint

    Reinforcement LearningLanguage Models
    arXiv

2024

  1. Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models

    M. Lin, S. Shi, Y. Guo, B. Chalaki, V. Tadiparthi, E. Pari, S. Stepputtis, J. Campbell, K. Sycara

    EMNLP Findings

    Reinforcement LearningLanguage Models
    arXiv

  2. ShapeGrasp: Zero-Shot Task-Oriented Grasping with Large Language Models through Geometric Decomposition

    S. Li, S. Bhagat, J. Campbell, Y. Xie, W. Kim, K. Sycara, S. Stepputtis

    IROS

    RoboticsInterpretabilityLanguage Models
    Code arXiv Website

  3. Adaptive Action Advising with Different Rewards

    Y. Guo, X. Zhang, S. Stepputtis, J. Campbell, K. Sycara

    CoLLAs

    Reinforcement Learning
    PDF

  4. HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation

    C. Zhang, S. Stepputtis, J. Campbell, K. Sycara, Y. Xie

    CVPR

    Computer VisionInterpretability
    Code arXiv

  5. Let Me Help You! Neuro-Symbolic Short-Context Action Anticipation

    S. Bhagat, S. Li, J. Campbell, Y. Xie, K. Sycara, S. Stepputtis

    RA-L

    Theory of MindComputer VisionRobotics
    PDF