5 citations · 16 across the 14 of their papers we have counts for
14 papers
Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations
Karthik Gopalakrishnan, Behnam Hedayatnia, Qinlang Chen +5
Building socialbots that can have deep, engaging open-domain conversations with humans is one of the grand challenges of artificial intelligence (AI). To this end, bots need to be…
Alexa, play with robot: Introducing the First Alexa Prize SimBot Challenge on Embodied AI
Hangjie Shi, Leslie Ball, Govind Thattai +39
The Alexa Prize program has empowered numerous university students to explore, experiment, and showcase their talents in building conversational agents through challenges like the…
Conversational Text-to-SQL: An Odyssey into State-of-the-Art and Challenges Ahead
Sree Hari Krishnan Parthasarathi, Lu Zeng, Dilek Hakkani-Tur
Conversational, multi-turn, text-to-SQL (CoSQL) tasks map natural language utterances in a dialogue to SQL queries. State-of-the-art (SOTA) systems use large, pre-trained and finet…
KILM: Knowledge Injection into Encoder-Decoder Language Models
Yan Xu, Mahdi Namazifar, Devamanyu Hazarika +3
Large pre-trained language models (PLMs) have been shown to retain implicit knowledge within their parameters. To enhance this implicit knowledge, we propose Knowledge Injection in…
PLACES: Prompting Language Models for Social Conversation Synthesis
Maximillian Chen, Alexandros Papangelis, Chenyang Tao +5
Collecting high quality conversational data can be very expensive for most applications and infeasible for others due to privacy, ethical, or similar concerns. A promising directio…
Role of Bias Terms in Dot-Product Attention
Mahdi Namazifar, Devamanyu Hazarika, Dilek Hakkani-Tur
Dot-product attention is a core module in the present generation of neural network models, particularly transformers, and is being leveraged across numerous areas such as natural l…