I am a Research Scientist at LG AI Research, where I work on building AI agents that can reason, plan, and act in digital environments. My recent work focuses on scalable training and evaluation for GUI agents, visual grounding, and improving the planning and reasoning capabilities of large language models and vision-language models.
I received my PhD in Computer Science from the University of Michigan. During my PhD, I worked on representation learning, learning from limited supervision, language grounding, and structured reasoning. Broadly, I am interested in building models that connect language, perception, knowledge, and action.
Interests: Agents, multimodality, planning and reasoning
Selected Publications
Process Reward Models That Think [paper]
Muhammad Khalifa, Rishabh Agarwal, Lajanugen Logeswaran, Jaekyeom Kim, Hao Peng, Moontae Lee, Honglak Lee, Lu Wang
TMLR 2026Scaling Web Agent Training through Automatic Data Generation and Fine-grained Evaluation [paper]
Lajanugen Logeswaran, Jaekyeom Kim, Sungryull Sohn, Creighton Glasscock, Honglak Lee
COLM 2025Visual Test-time Scaling for GUI Agent Grounding [paper]
Tiange Luo, Lajanugen Logeswaran, Justin Johnson, Honglak Lee
ICCV 2025 (Spotlight)Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents [paper]
Yunseok Jang*, Yeda Song*, Sungryull Sohn, Lajanugen Logeswaran, Tiange Luo, Dong-Ki Kim, Kyunghoon Bae, Honglak Lee
CVPR 2025AutoGuide: Automated Generation and Selection of State-Aware Guidelines for Large Language Model Agents [paper]
Yao Fu, Dong-Ki Kim, Jaekyeom Kim, Sungryull Sohn, Lajanugen Logeswaran, Kyunghoon Bae, Honglak Lee
NeurIPS 2024Few-shot Subgoal Planning with Language Models [paper]
Lajanugen Logeswaran, Violet Fu, Moontae Lee, Honglak Lee
NAACL 2022An Efficient Framework for Learning Sentence Representations [paper]
Lajanugen Logeswaran, Honglak Lee
ICLR 2018
For a complete list of publications, please see my Google Scholar profile.
Professional Experience
- Research Scientist, LG AI Research, Ann Arbor, Jul 2021 – Present
- Research Intern, Facebook AI Research, New York, May 2019 – Aug 2019
- Research Intern, Google Research, Seattle, May 2018 – Jan 2019
- Research Intern, Google Brain, Mountain View, Feb 2017 – Jun 2017
Awards & Honors
- Social Impact Award, NAACL 2024
- Best Paper Nomination, ACL 2019
- Bronze Medal, 50th International Mathematical Olympiad, 2009
- Gold Medal, Sri Lankan Mathematics Olympiad, 2007
