Patrick Lange — accepted AI-conference papers

2023

Towards Credible Human Evaluation of Open-Domain Dialog Systems Using Interactive Setup

Sijia Liu, Patrick Lange, Behnam Hedayatnia, Alexandros Papangelis, Di Jin, Andrew Wirth +2

AAAI 2023technical

Evaluating open-domain conversation models has been an open challenge due to the open-ended nature of conversations. In addition to static evaluations, recent work has started to explore a variety of per-turn and per-dialog interactive evaluation mechanisms and provide advice on the best setup. In t…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗

2022

TEACh: Task-Driven Embodied Agents That Chat

Aishwarya Padmakumar, Jesse Thomason, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen, Spandana Gella +3

AAAI 2022technical

Robots operating in human spaces must be able to engage in natural language interaction, both understanding and executing instructions, and using conversation to resolve ambiguity and correct mistakes. To study this, we introduce TEACh, a dataset of over 3,000 human-human, interactive dialogues to c…

Cited by 191 Source ↗PDF ↗code ↗Scholar ↗