I am Saaket Agashe, a Ph.D student at the University of California, Santa Cruz where I work with Prof. Xin Eric Wang. My research interests lie in the intersection of NLP, Embodied AI, and Human-AI Collaboration. My research goal is to develop agents and systems that can co-exist and collaborate with humans in a shared environment. Currently, I am exploring the use of Foundation Models (LLMs, LVLMs) for multi-agent coordination.

Previously, as a Master's student at UCSC, I worked on Language Grounding and Vision and Language Navigation.

I graduated with a B.Tech in Electronics Engineering from VJTI, Mumbai, India in 2020, where I focused on Robotics.

For more details, check my CV or drop me an email.

Research

Agent S: An Open Agentic Framework that Uses Computers Like a Human
Saaket Agashe, Jiuzhou Han, Shuyu Gan, Jiachen Yang, Ang Li, Xin Eric Wang
Description: Developed Agent S, an advanced OS-level GUI automation system that integrates experience-based learning, web retrieval, and hierarchical planning for efficient task execution, achieving state-of-the-art performance in the OSWorld benchmark..
Website Paper Code

LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models
Saaket Agashe, Yue Fan, Anthony Reyna, Xin Eric Wang
Description: Introduced the LLM-Coordination Benchmark and conducted a comprehensive analysis of LLMs in Pure Coordination Games.
Website Paper Code

Athena 3.0: Personalized multimodal chatbot with neuro-symbolic dialogue generators
UCSC Team Athena
Description: Entry to Alexa Prize Social Bot Grand Challenge that earned second place in scientific innovation category
Website Paper

Localization using Spatial Descriptions
Saaket Agashe, Xin Eric Wang
Description: Visually grounding Spatial Descriptions to a single point in an image based on descriptions of objects in the neighborhood of the point.
Code

Interacting with Next-Phrase Suggestions: How Suggestion Systems Aid and Influence the Cognitive Processes of Writing
Advait Bhat, Saaket Agashe, Niharika Mohile, Parth Oberoi, Ravi Jangir, Anirudha Joshi
Best Paper Honourable Mention @ IUI’23
Description: Exploratory qualitative study to understand how writers interact with next-phrase suggestions.
Code Paper

How do people interact with biased text prediction models while writing?
Advait Bhat, Saaket Agashe, Anirudha Joshi
First HCI+NLP Workshop @ EACL 2021
Description: Pilot study to understand how people interact with next phrase suggestion system.
Code Paper

Perception and Motion Planning for Autonomous mobile manipulator
Saaket Agashe, Akshay Paralikar, Shweta Kumaran, Shambhavi Kuthe, Aditya Gawali, Hiten Kothari, Shashank Deshmukh, Faruk Kazi
Description: Develop a functional autonomous mobile manipulator for testing algorithms developed in simulation in the real world.
Code