no code implementations • 16 Nov 2023 • Ramya Ramakrishnan, Ethan R. Elenberg, Hashan Narangodage, Ryan Mcdonald
In task-oriented dialogue, a system often needs to follow a sequence of actions, called a workflow, that complies with a set of guidelines in order to complete a task.
no code implementations • 14 Nov 2023 • Do June Min, Paloma Sodhi, Ramya Ramakrishnan
Task-oriented dialogue (TOD) systems aim to achieve specific goals through interactive dialogue.
1 code implementation • NAACL 2022 • Ramya Ramakrishnan, Hashan Buddhika Narangodage, Mauro Schilman, Kilian Q. Weinberger, Ryan Mcdonald
This setting requires a model to not only consider the generation of these control words in the immediate context, but also produce utterances that will encourage the generation of the words at some time in the (possibly distant) future.
no code implementations • 28 Mar 2021 • Ramya Ramakrishnan, Vaibhav Unhelkar, Ece Kamar, Julie Shah
Trained AI systems and expert decision makers can make errors that are often difficult to identify and understand.
no code implementations • 23 May 2018 • Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie Shah, Eric Horvitz
Agents trained in simulation may make errors in the real world due to mismatches between training and execution environments.
no code implementations • 24 May 2014 • Stefanos Nikolaidis, Keren Gu, Ramya Ramakrishnan, Julie Shah
We present a framework for learning human user models from joint-action demonstrations that enables the robot to compute a robust policy for a collaborative task with a human.