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
, 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..
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LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models
, Yue Fan, Anthony Reyna, Xin Eric Wang
Description: Introduced the LLM-Coordination Benchmark and conducted a comprehensive analysis of LLMs in Pure Coordination Games.
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Athena 3.0: Personalized multimodal chatbot with neuro-symbolic dialogue generators
Description: Entry to Alexa Prize Social Bot Grand Challenge that earned second place in scientific innovation category
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Localization using Spatial Descriptions
, 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.
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Interacting with Next-Phrase Suggestions: How Suggestion Systems Aid and Influence the Cognitive Processes of Writing
Advait Bhat, , 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.
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How do people interact with biased text prediction models while writing?
Advait Bhat, , Anirudha Joshi
First HCI+NLP Workshop @ EACL 2021
Description: Pilot study to understand how people interact with next phrase suggestion system.
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Perception and Motion Planning for Autonomous mobile manipulator
, 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.
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