Harsh Nishant Lalai

Harsh Nishant Lalai

PhD Student at Johns Hopkins
Hey there! I'm a PhD student in Computer Science at JHU Johns Hopkins University, advised by Kristina Gligorić and Benjamin Van Durme. Previously, I completed my undergraduate degree at BITS BITS Pilani, Goa Campus.
I am interested in building AI systems that model and simulate human behavior, from personalization to social interactions and group dynamics. My research focuses on user modeling, multi-agent simulations, and human-AI collaboration, with the goal of developing AI agents that adapt to individual users, predict how people interact and make decisions, and support more effective human-AI teamwork.

Featured Research Publications

From Intentions to Techniques
A Comprehensive Taxonomy and Challenges in Text Watermarking for Large Language Models
Findings of NAACL 2025
The World According to LLMs
How Geographic Origin Influences LLMs' Entity Deduction Capabilities
COLM 2025
When Visuals Aren't the Problem
Evaluating Vision-Language Models on Misleading Data Visualizations
arXiv 2026

Updates!

Excited to start my PhD at Johns Hopkins University in Fall 2026, advised by Kristina Gligoric and Benjamin Van Durme!
When Visuals Aren't the Problem is now available on arXiv.
The World According to LLMs was accepted to COLM 2025.
Started my undergraduate thesis at Georgia Institute of Technology under the advisement of Sashank Varma and Raj Sanjay Shah.
From Intentions to Techniques was accepted to Findings of NAACL 2025.