Search Results for author: Patrick Lange

Found 9 papers, 3 papers with code

TEACh: Task-driven Embodied Agents that Chat

3 code implementations1 Oct 2021 Aishwarya Padmakumar, Jesse Thomason, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen, Spandana Gella, Robinson Piramuthu, Gokhan Tur, Dilek Hakkani-Tur

Robots operating in human spaces must be able to engage in natural language interaction with people, both understanding and executing instructions, and using conversation to resolve ambiguity and recover from mistakes.

Dialogue Understanding

DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines

1 code implementation20 Dec 2022 Prakhar Gupta, Yang Liu, Di Jin, Behnam Hedayatnia, Spandana Gella, Sijia Liu, Patrick Lange, Julia Hirschberg, Dilek Hakkani-Tur

These guidelines provide information about the context they are applicable to and what should be included in the response, allowing the models to generate responses that are more closely aligned with the developer's expectations and intent.

Response Generation

Leveraging Multimodal Dialog Technology for the Design of Automated and Interactive Student Agents for Teacher Training

no code implementations WS 2018 David Pautler, Vikram Ramanarayanan, Kirby Cofino, Patrick Lange, David Suendermann-Oeft

We used the open-source multimodal dialog system HALEF to implement a small-group classroom math discussion involving Venn diagrams where a human teacher candidate has to interact with two student ECAs whose actions are controlled by the dialog system.

Math

Dialog Acts for Task-Driven Embodied Agents

no code implementations26 Sep 2022 Spandana Gella, Aishwarya Padmakumar, Patrick Lange, Dilek Hakkani-Tur

Embodied agents need to be able to interact in natural language understanding task descriptions and asking appropriate follow up questions to obtain necessary information to be effective at successfully accomplishing tasks for a wide range of users.

Natural Language Understanding

Dialog Acts for Task Driven Embodied Agents

no code implementations SIGDIAL (ACL) 2022 Spandana Gella, Aishwarya Padmakumar, Patrick Lange, Dilek Hakkani-Tur

Embodied agents need to be able to interact in natural language – understanding task descriptions and asking appropriate follow up questions to obtain necessary information to be effective at successfully accomplishing tasks for a wide range of users.

Natural Language Understanding

Multimodal Contextualized Plan Prediction for Embodied Task Completion

no code implementations10 May 2023 Mert İnan, Aishwarya Padmakumar, Spandana Gella, Patrick Lange, Dilek Hakkani-Tur

Task planning is an important component of traditional robotics systems enabling robots to compose fine grained skills to perform more complex tasks.

Cannot find the paper you are looking for? You can Submit a new open access paper.