Hi There

Hi there! I am a 3rd-year PhD student in Computer Science, at University of California, Los Angeles, advised by Prof. Saadia Gabriel. Previously I received my Master’s degree in CS at Univeristy of Illinois Urbana-Champaign, advised by Prof. Heng Ji and Prof. Hao Peng. I received undergraduate degrees in both Computer Science and Mathematics from University of Massachusetts, Amherst. I’ve worked at Google as a Student Researcher from Fall 2025 to Summer 2026, and at Amazon as an Applied Scientist intern in Summer 2025.

Research Interests

I’m broadly interested in Large Language Models and agentic systems powered by them. More specifically, I work on agent safety, self-improving models, and memory mechanisms of LLM agents.

Education

• University of California, Los Angeles
  • Ph.D. in Computer Science, 2024-present, advised by Prof. Saadia Gabriel
• University of Illinois, Urbana-Champaign
  • Master in Computer Science, 2022-2023, advised by Prof. Heng Ji and Prof. Hao Peng
• University of Massachusetts, Amherst
  • B.S. in Computer Science, 2018-2022
  • B.S. in Mathematics, 2018-2022

Publications

For the most up to date list of publications, please refer to my Google Scholar profile.

• Belief Cascades Drive Persuasion in LLM Agent Networks
  Haoyi Qiu, Genglin Liu*, Pranav Narayanan Venkit, Kung-Hsiang Huang, Saadia Gabriel, Chien-Sheng Wu, Nanyun Peng *Equal Contribution
  Preprint 2026 [paper]
• Automatic Hard Example Synthesis with Multi-Level Agentic Data Curation
  Genglin Liu, Muye Zhang, Krishnamurthy Viswanathan, Nichole J Hansen, Blaž Bratanič, Nathan L Clement, Shalini Ghosh, Ariel Fuxman
  Preprint 2026 [paper]
• PM-Bench: Evaluating Prospective Memory in LLM Agents \ Genglin Liu, Saadia Gabriel
  COLM 2026 [paper]
• MOSAIC: Modeling Social AI for Content Dissemination and Regulation in Multi-Agent Simulations
  Genglin Liu, Vivian Le, Salman Rahman, Elisa Kreiss, Marzyeh Ghassemi, Saadia Gabriel
  EMNLP 2025 (Oral) [paper]
• WebCoach: Improve Browsing Agents with Memory-Aware Guidance for Better Web Navigation
  Genglin Liu, Shijie Geng, Sha Li, Hejie Cui, Sarah Zhang, Xin Liu, Tianyi Liu
  ICLR 2026 MemAgent Workshop [paper]
• AI Debate Aids Assessment of Controversial Claims
  Salman Rahman, Sheriff Issaka, Ashima Suvarna, Genglin Liu, James Shiffer, Jaeyoung Lee, Md Rizwan Parvez, Hamid Palangi, Shi Feng, Nanyun Peng, Yejin Choi, Julian Michael, Liwei Jiang, Saadia Gabriel
  NeurIPS 2025 [paper]
• X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents
  Salman Rahman, Liwei Jiang, James Shiffer, Genglin Liu, Sheriff Issaka, Md Rizwan Parvez, Hamid Palangi, Kai-Wei Chang, Yejin Choi, Saadia Gabriel
  COLM 2025 [paper project page]
• SciCode: A Research Coding Benchmark Curated by Scientists
  Minyang Tian, Luyu Gao, Shizhuo Dylan Zhang, Xinan Chen, Cunwei Fan, Xuefei Guo, Roland Haas, Pan Ji, Kittithat Krongchon, Yao Li, Shengyan Liu, Di Luo, Yutao Ma, Hao Tong, Kha Trinh, Chenyu Tian, Zihan Wang, Bohao Wu, Yanyu Xiong, Shengzhu Yin, Minhui Zhu, Kilian Lieret, Yanxin Lu, Genglin Liu, Yufeng Du, Tianhua Tao, Ofir Press, Jamie Callan, Eliu Huerta, Hao Peng
  NeurIPS 2024 Datasets and Benchmarks track [paper]
• Examining LLMs’ Uncertainty Expression Towards Questions Outside Parametric Knowledge
  Genglin Liu, Xingyao Wang, Lifan Yuan, Yangyi Chen, Hao Peng
  Preprint 2023 [paper]
• Paxion: Patching Action Knowledge in Video-Language Foundation Models
  Zhenhailong Wang, Ansel Blume, Sha Li, Genglin Liu, Jaemin Cho, Zineng Tang, Mohit Bansal, Heng Ji
  NeurIPS 2023, Spotlight [Paper]
• An Augmented Multilingual NLI Approach Towards Online News Persuasion Techniques Detection
  Genglin Liu, Yi R. Fung, Heng Ji
  Proceedings of the The 17th International Workshop on Semantic Evaluation [paper]

Internships/Research Experiences

Spring 2026 - Summer 2026: Google

• Student Researcher
• Hosts: Andy Zhang, Shalini Ghosh

Fall 2025: Google Research

• Student Researcher
• Hosts: Krishna Viswanathan, Ariel Fuxman

Summer 2025: Amazon

• Applied Scientist Intern, Stores Foundational AI
• Hosts: Shijie Geng, Zoey Li, Jimmy Liu

Fall 2024 - Present: University of California, Los Angeles

• Research Assistant
• Advisor: Saadia Gabriel

Spring 2024: Department of Computer Science, UIUC

• Research Assistant
• Advisor: Hao Peng

Fall 2022 - Fall 2023: BLENDER NLP Lab, Urbana IL

• Graduate Research Assistant
• Advisor: Heng Ji

Summer 2022: BLENDER NLP Lab, Urbana IL

• Research Intern
• Advisor: Heng Ji

Summer 2021: TRIPODS Institute for Theoretical Foundations of Data Science, Amherst MA

• Research Intern
• Advisor: Yulong Lu

Fall 2020 - Spring 2022: InfoFusion Lab, Amherst MA

• Undergrad Research Assistant
• Advisor: Ina Fiterau

Mentoring/Teaching Experiences

• Teaching Assistant
  CS 263: Natural Language Processing, winter 2026
  Department of Computer Science, UCLA
• Course Assistant
  CS 311: Algorithms, spring 2021
  CS 250: Discrete Mathematics, fall 2020
  College of Information and Computer Sciences, UMass Amherst
• Undergraduate Teaching Assistant
  Math 103: Calculus I, fall 2019
  Math 104: Calculus II, spring 2020
  Department of Mathematics and Statistics, UMass Amherst
• Residential Peer Mentor
  Fall 2019 - Fall 2022, UMass Amherst

Awards and Honors

• College of Information and Computer Sciences Departmental Honors, 2022
• Bay State Fellowship Recipient at UMass Amherst, 2022
• Chancellor’s Award at UMass Amherst, 2018

Service

ACL reviewer, 2024
COLM reviewer, 2026
Neurips reviewer, 2026