1 code implementation • 13 Dec 2019 • Malihe Alikhani, Baber Khalid, Rahul Shome, Chaitanya Mitash, Kostas Bekris, Matthew Stone
This work proposes a set of interpretive principles for how a robotic arm can use pointing actions to communicate task information to people by extending existing models from the related literature.
no code implementations • 8 Jul 2020 • Baber Khalid, Malihe Alikhani, Michael Fellner, Brian McMahan, Matthew Stone
Prior approaches to realizing mixed-initiative human--computer referential communication have adopted information-state or collaborative problem-solving approaches.
no code implementations • COLING 2020 • Baber Khalid, Malihe Alikhani, Matthew Stone
In many domains, dialogue systems need to work collaboratively with users to successfully reconstruct the meaning the user had in mind.
2 code implementations • Findings (EMNLP) 2021 • Mert İnan, Piyush Sharma, Baber Khalid, Radu Soricut, Matthew Stone, Malihe Alikhani
Developers of text generation models rely on automated evaluation metrics as a stand-in for slow and expensive manual evaluations.
no code implementations • 3 Aug 2023 • Baber Khalid, Matthew Stone
Many conversational domains require the system to present nuanced information to users.
no code implementations • NAACL 2022 • Baber Khalid, Sungjin Lee
There is an increasing trend in using neural methods for dialogue model evaluation.