Kaiwen Zhou

publications

* equal contribution. See also Google Scholar.

2026

  1. arXiv
    RSI Control: Can AI Models Perform Covert Sabotage in the Self-Improvement Process?
    Kaiwen Zhou, Udari Madhushani Sehwag
    arXiv 2026
    Paper
  2. ICML-W
    Probing the Misaligned Thinking Process of Language Models
    Kaiwen Zhou, Constantin Venhoff, Jonathan Michala, Xin Eric Wang, William Saunders
    Mechanistic Interpretability Workshop @ ICML 2026
    PaperWebsiteCodeData
  3. arXiv
    SafePro: Evaluating the Safety of Professional-Level AI Agents
    Kaiwen Zhou, Shreedhar Jangam*, Ashwin Nagarajan*, Tejas Polu*, Suhas Oruganti, Chengzhi Liu, Ching-Chen Kuo, Yuting Zheng, Sravana Narayanaraju, Xin Eric Wang
    arXiv 2026
    PaperWebsiteCodeData
  4. EACL
    SIRAJ: Diverse and Efficient Red-Teaming for LLM Agents via Distilled Structured Reasoning
    Kaiwen Zhou, Ahmed Elgohary, A S M Iftekhar, Amin Saied
    Findings of EACL 2026
    Paper
  5. ICLR
    Presenting a Paper is an Art: Self-Improvement Aesthetic Agents for Academic Presentations
    Chengzhi Liu*, Yuzhe Yang*, Kaiwen Zhou, Zhen Zhang, Yue Fan, Yannan Xie, Peng Qi, Xin Eric Wang
    ICLR 2026
    PaperWebsiteCodeData
  6. ICLR
    "PhyWorldBench": A Comprehensive Evaluation of Physical Realism in Text-to-Video Models
    Jing Gu, Xian Liu, Yu Zeng, Ashwin Nagarajan, Fangrui Zhu, Daniel Hong, Yue Fan, Qianqi Yan, Kaiwen Zhou, Ming-Yu Liu, Xin Eric Wang
    ICLR 2026 — Oral
    Paper

2025

  1. EMNLP
    SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning
    Kaiwen Zhou, Xuandong Zhao, Gaowen Liu, Jayanth Srinivasa, Aosong Feng, Dawn Song, Xin Eric Wang
    EMNLP 2025
    PaperWebsiteCodeModels
  2. AACL
    The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1
    Kaiwen Zhou, Chengzhi Liu, Xuandong Zhao, Shreedhar Jangam, Jayanth Srinivasa, Gaowen Liu, Dawn Song, Xin Eric Wang
    IJCNLP-AACL 2025
    PaperWebsite
  3. ICLR
    Multimodal Situational Safety
    Kaiwen Zhou*, Chengzhi Liu*, Xuandong Zhao, Anderson Compalas, Dawn Song, Xin Eric Wang
    ICLR 2025
    NeurIPS 2024 Workshop on RBFM — Oral
    PaperWebsiteCodeData

2024

  1. ACL
    Muffin or Chihuahua? Challenging Large Vision-Language Models with Multipanel VQA
    Yue Fan, Jing Gu, Kaiwen Zhou, Qianqi Yan, Shan Jiang, Ching-Chen Kuo, Xinze Guan, Xin Eric Wang
    ACL 2024
    PaperWebsite
  2. ACL
    ViCor: Bridging Visual Understanding and Commonsense Reasoning with Large Language Models
    Kaiwen Zhou, Kwonjoon Lee, Teruhisa Misu, Xin Eric Wang
    Findings of ACL 2024
    Paper
  3. NAACL
    Navigation as the Attacker Wishes? Towards Building Byzantine-Robust Embodied Agents under Federated Learning
    Yunchao Zhang, Zonglin Di, Kaiwen Zhou, Cihang Xie, Xin Eric Wang
    NAACL 2024
    Paper

2023

  1. ICML
    ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation
    Kaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen, Hongxia Jin, Lise Getoor, Xin Eric Wang
    ICML 2023
    PaperWebsite

2022

  1. ECCV
    FedVLN: Privacy-preserving Federated Vision-and-Language Navigation
    Kaiwen Zhou, Xin Eric Wang
    ECCV 2022
    PaperCode
  2. NeSy
    JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents
    Kaizhi Zheng*, Kaiwen Zhou*, Jing Gu*, Yue Fan*, Zonglin Di*, Jialu Wang, Xuehai He, Xin Eric Wang
    SoCal NLP 2022, NeSy 2025 — Oral
    Winner model of the Alexa Prize SimBot Public Benchmark Challenge
    Paper