46 citations · 66 across the 5 of their papers we have counts for
5 papers
Translating Natural Language to Planning Goals with Large-Language Models
Yaqi Xie, Chen Yu, Tongyao Zhu +3
Recent large language models (LLMs) have demonstrated remarkable performance on a variety of natural language processing (NLP) tasks, leading to intense excitement about their appl…
Order Matters: Generating Progressive Explanations for Planning Tasks in Human-Robot Teaming
Mehrdad Zakershahrak, Shashank Rao Marpally, Akshay Sharma +2
Prior work on generating explanations in a planning and decision-making context has focused on providing the rationale behind an AI agent's decision making. While these methods pro…
Online Explanation Generation for Human-Robot Teaming
Mehrdad Zakershahrak, Ze Gong, Nikhillesh Sadassivam +1
As AI becomes an integral part of our lives, the development of explainable AI, embodied in the decision-making process of an AI or robotic agent, becomes imperative. For a robotic…
Interactive Plan Explicability in Human-Robot Teaming
Mehrdad Zakershahrak, Yu Zhang
Human-robot teaming is one of the most important applications of artificial intelligence in the fast-growing field of robotics. For effective teaming, a robot must not only maintai…
Correlated Equilibria for Approximate Variational Inference in MRFs
Luis E. Ortiz, Boshen Wang, Ze Gong
Almost all of the work in graphical models for game theory has mirrored previous work in probabilistic graphical models. Our work considers the opposite direction: Taking advantage…