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Hi, I'm Farhan, a graduate PhD student at KSoC, UofU. I obtained my Bachelor's degree from IUT-CSE. Currently, I am working with Prof. Kenneth Marino to build AI agents that help people.

News and Updates

Research Map

The research map will help you navigate through my research portfolio. Click any node for details.

Research Highlights

TimeWarp: Evaluating Web Agents by Revisiting the Past

Project Page Paper Code Dataset Models

tldr. (a) a benchmark for evaluating web agents on temporal variations of web UI, (b) a method for scalably collecting trajectories across temporal versions, and (c) a method for behavior cloining web agents using planning, memory and reasoning.

FrugalPrompt: Reducing Contextual Overhead in Large Language Models via Token Attribution

Project Page Paper Code

tldr. A token attribution-based prompt compression method that reduces contextual overhead in LLMs without significant performance degradation.

R-MMA: Enhancing Vision-Language Models with Recurrent Adapters for Few-Shot and Cross-Domain Generalization

Paper Supp Code Poster

tldr. A multi-modal adapter that uses attention and shares weight across layers to improve few-shot generalization.