About Me

I am Lingbo Mo, an Applied Scientist at Amazon AWS AI Lab. Before joining AWS, I received my Ph.D. in Computer Science and Engineering at The Ohio State University (OSU) advised by Prof. Huan Sun. Prior to joining OSU, I received my M.S. and B.S. in the School of Information and Communication Engineering at Beijing University of Posts and Telecommunications (BUPT).

Research Interest

My research interests lie in natural language processing, interactive systems, vision and language, safety and trustworthiness of LLMs, language agents.

Publication

• EIA: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage
  Zeyi Liao*, Lingbo Mo*, Chejian Xu, Mintong Kang, Jiawei Zhang, Chaowei Xiao, Yuan Tian, Bo Li, Huan Sun (* denotes equal contribution)
  The Thirteenth International Conference on Learning Representations
  (ICLR 2025)

• AdvWeb: Controllable Black-box Attacks on VLM-powered Web Agents
  Chejian Xu, Mintong Kang, Jiawei Zhang, Zeyi Liao, Lingbo Mo, Mengqi Yuan, Huan Sun, Bo Li
  Forty-Second International Conference on Machine Learning
  (ICML 2025)

• A Trembling House of Cards? Mapping Adversarial Attacks against Language Agents
  Lingbo Mo, Zeyi Liao, Boyuan Zheng, Yu Su, Chaowei Xiao, Huan Sun
  (arXiv 2024)

• How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities
  Lingbo Mo, Boshi Wang, Muhao Chen, Huan Sun
  2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics
  (NAACL 2024)

• A Multi-Aspect Framework for Counter Narrative Evaluation using Large Language Models
  Jaylen Jones, Lingbo Mo, Eric Fosler-Lussier, Huan Sun
  2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics
  (NAACL 2024)

• Controllable Decontextualization of Yes/No Question and Answers into Factual Statements
  Lingbo Mo, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi
  The 46th European Conference on Information Retrieval
  (ECIR 2024)

• Insights of a Usability Study for KBQA Interactive Semantic Parsing: Generation Yields Benefits over Templates but External Validity Remains Challenging
  Ashley Lewis, Lingbo Mo, Marie-Catherine de Marneffe, Huan Sun, Michael White
  (HumEval @ LREC-COLING 2024)

• MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing [Paper] [Project Page]
  Kai Zhang*, Lingbo Mo*, Wenhu Chen, Huan Sun, Yu Su (* denotes equal contribution)
  Thirty-seventh Conference on Neural Information Processing Systems
  (NeurIPS 2023)

• Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System
  Lingbo Mo, Shijie Chen, Ziru Chen, Xiang Deng, Ashley Lewis, Sunit Singh, Samuel Stevens, Chang-You Tai, Zhen Wang, Xiang Yue, Tianshu Zhang, Yu Su, Huan Sun
  24th Meeting of the Special Interest Group on Discourse and Dialogue
  (SIGDIAL 2023)

• TACO 2.0: A Task-Oriented Dialogue System with Mixed Initiatives and Multi-Modal Interaction
  Lingbo Mo, Huanli Gong, Sunit Singh, Chang-You Tai, Tianhao Zang, Tianshu Zhang, Huan Sun
  2st Proceedings of Alexa Prize TaskBot
  (Alexa Prize 2023)

• Towards Transparent Interactive Semantic Parsing via Step-by-Step Correction
  Lingbo Mo, Ashley Lewis, Huan Sun, Michael White
  60th Annual Meeting of the Association for Computational Linguistics
  (ACL 2022 Findings)

• INSPIRED: A Large-Scale Dataset and Simulation Framework for Exploring Interactive Learning in Knowledge-Based Question Answering
  Lingbo Mo, Ashley Lewis, Huan Sun, Michael White
  (InterNLP @ NeurlPS 2022)

• Knowledge Transfer between Structured and Unstructured Sources for Complex Question Answering
  Lingbo Mo*, Zhen Wang*, Jie Zhao, Huan Sun (* denotes equal contribution)
  (SUKI @ NAACL 2022)

• Bootstrapping a User-Centered Task-Oriented Dialogue System
  Shijie Chen, Ziru Chen, Xiang Deng, Ashley Lewis, Lingbo Mo, Samuel Stevens, Zhen Wang, Xiang Yue, Tianshu Zhang, Yu Su, Huan Sun
  1st Proceedings of Alexa Prize TaskBot
  (Alexa Prize 2021)

• Adversarial Learning for Visual Storytelling with Sense Group Partition
  Lingbo Mo, Chunhong Zhang, Yang Ji and Zheng Hu
  14th Asian Conference on Computer Vision
  (ACCV 2018)

Experience & Awards

• Machine Learning Intern at Adobe, 2024
• CSE Graduate Student Research Award at OSU, 2024
• Research Intern at Amazon Alexa Shopping, 2022
• Earned the third-place honor in the inaugural Alexa Prize TaskBot Challenge, 2022
• Research Intern at Institute of Computer Technology, Peking University, 2019
• Awarded the title of Academic Star at BUPT, 2018
• Meritorious Winner in the Mathematical Contest in Modeling (MCM/ICM), 2015