PPaperPicks

Ming Jin

Virginia Tech, Blacksburg, VA, USA

24 papers at tracked venues · 17 at CORE A* · active 2024–2025

DBLP profile ↗ORCID 0000-0001-7909-4545 ↗

Venues

NeurIPS ×6EMNLP ×5ICML ×5ICLR ×3AAAI ×1ACL ×1CVPR ×1ECML-PKDD ×1NAACL ×1

Frequent coauthors

Ruoxi Jia
×12
Bilgehan Sel
×6
Lifu Huang
×4
Shangding Gu
×4
Myeongseob Ko
×4
Hyunin Lee
×3
Costas J. Spanos
×3
Charles Fleming
×3
Hoang Anh Just
×2
Mahavir Dabas
×2
Javad Lavaei
×2
Tyler Cody
×2

Papers

  1. A Black Swan Hypothesis: The Role of Human Irrationality in AI Safety
    ICLR 2025 ·
    Hyunin Lee
    ,
    Chanwoo Park
    ,
    David Abel
    , Ming Jin
  2. DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking
    NAACL 2025 ·
    Hoang Anh Just
    ,
    Mahavir Dabas
    ,
    Lifu Huang
    , Ming Jin,
    Ruoxi Jia
  3. Don't Trade Off Safety: Diffusion Regularization for Constrained Offline RL
    NeurIPS 2025 ·
    Junyu Guo
    ,
    Zhi Zheng
    ,
    Donghao Ying
    , Ming Jin,
    Shangding Gu
    ,
    Costas J. Spanos
    ,
    Javad Lavaei
  4. From Capabilities to Performance: Evaluating Key Functional Properties of LLM Architectures in Penetration Testing
    EMNLP 2025 ·
    Lanxiao Huang
    ,
    Daksh Dave
    ,
    Tyler Cody
    ,
    Peter A. Beling
    , Ming Jin
  5. Improving Novel Anomaly Detection with Domain-Invariant Latent Representations
    ECML-PKDD 2025 ·
    Padmaksha Roy
    , Ming Jin,
    Himanshu Singhal
    ,
    Tyler Cody
    ,
    Kevin Choi
  6. Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning
    ICML 2025 ·
    Mahavir Dabas
    ,
    Si Chen
    ,
    Charles Fleming
    , Ming Jin,
    Ruoxi Jia
  7. LLMs Can Plan Only If We Tell Them
    ICLR 2025 ·
    Bilgehan Sel
    ,
    Ruoxi Jia
    , Ming Jin
  8. LLMs Can Reason Faster Only If We Let Them
    ICML 2025 ·
    Bilgehan Sel
    ,
    Lifu Huang
    ,
    Naren Ramakrishnan
    ,
    Ruoxi Jia
    , Ming Jin
  9. Position: AI Safety Must Embrace an Antifragile Perspective
    ICML 2025 · Ming Jin,
    Hyunin Lee
  10. Probing Hidden Knowledge Holes in Unlearned LLMs
    NeurIPS 2025 ·
    Myeongseob Ko
    ,
    Hoang Anh Just
    ,
    Charles Fleming
    , Ming Jin,
    Ruoxi Jia
  11. Reinforcement Learning with Backtracking Feedback
    NeurIPS 2025 ·
    Bilgehan Sel
    ,
    Vaishakh Keshava
    ,
    Phillip Wallis
    ,
    Lukas Rutishauser
    , Ming Jin,
    Dingcheng Li
  12. Retracing the Past: LLMs Emit Training Data When They Get Lost
    EMNLP 2025 ·
    Myeongseob Ko
    ,
    Nikhil Reddy Billa
    ,
    Adam Nguyen
    ,
    Charles Fleming
    , Ming Jin,
    Ruoxi Jia
  13. Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
    ICLR 2025 ·
    Shangding Gu
    ,
    Laixi Shi
    ,
    Muning Wen
    , Ming Jin,
    Eric Mazumdar
    ,
    Yuejie Chi
    ,
    Adam Wierman
    ,
    Costas J. Spanos
  14. Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories
    EMNLP 2025 ·
    Mohammad Beigi
    ,
    Ying Shen
    ,
    Parshin Shojaee
    ,
    Qifan Wang
    ,
    Zichao Wang
    ,
    Chandan K. Reddy
    , Ming Jin,
    Lifu Huang
  15. Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models
    ICML 2024 ·
    Bilgehan Sel
    ,
    Ahmad Al-Tawaha
    ,
    Vanshaj Khattar
    ,
    Ruoxi Jia
    , Ming Jin
  16. Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
    AAAI 2024 ·
    Shangding Gu
    ,
    Bilgehan Sel
    ,
    Yuhao Ding
    ,
    Lu Wang
    ,
    Qingwei Lin
    , Ming Jin,
    Alois Knoll
  17. Boosting Alignment for Post-Unlearning Text-to-Image Generative Models
    NeurIPS 2024 ·
    Myeongseob Ko
    ,
    Henry Li
    ,
    Zhun Wang
    ,
    Jonathan Patsenker
    ,
    Jiachen T. Wang
    ,
    Qinbin Li
    , Ming Jin,
    Dawn Song
    ,
    Ruoxi Jia
  18. Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?
    EMNLP 2024 ·
    Jianfeng He
    ,
    Runing Yang
    ,
    Linlin Yu
    ,
    Changbin Li
    ,
    Ruoxi Jia
    ,
    Feng Chen
    , Ming Jin,
    Chang-Tien Lu
  19. Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation
    NeurIPS 2024 ·
    Shangding Gu
    ,
    Laixi Shi
    ,
    Yuhao Ding
    ,
    Alois Knoll
    ,
    Costas J. Spanos
    ,
    Adam Wierman
    , Ming Jin
  20. Fairness-Aware Meta-Learning via Nash Bargaining
    NeurIPS 2024 ·
    Yi Zeng
    ,
    Xuelin Yang
    ,
    Li Chen
    ,
    Cristian Canton Ferrer
    , Ming Jin,
    Michael I. Jordan
    ,
    Ruoxi Jia
  21. InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States
    EMNLP 2024 ·
    Mohammad Beigi
    ,
    Ying Shen
    ,
    Runing Yang
    ,
    Zihao Lin
    ,
    Qifan Wang
    ,
    Ankith Mohan
    ,
    Jianfeng He
    , Ming Jin,
    Chang-Tien Lu
    ,
    Lifu Huang
  22. Pausing Policy Learning in Non-stationary Reinforcement Learning
    ICML 2024 ·
    Hyunin Lee
    , Ming Jin,
    Javad Lavaei
    ,
    Somayeh Sojoudi
  23. Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs
    ACL 2024 ·
    Bilgehan Sel
    ,
    Priya Shanmugasundaram
    ,
    Mohammad Kachuee
    ,
    Kun Zhou
    ,
    Ruoxi Jia
    , Ming Jin
  24. The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes
    CVPR 2024 ·
    Myeongseob Ko
    ,
    Feiyang Kang
    ,
    Weiyan Shi
    , Ming Jin,
    Zhou Yu
    ,
    Ruoxi Jia