Llm-powered conversational voice assistants: Interaction patterns, opportunities, challenges, and design guidelines

A Mahmood, J Wang, B Yao, D Wang… - arxiv preprint arxiv …, 2023 - arxiv.org
Conventional Voice Assistants (VAs) rely on traditional language models to discern user
intent and respond to their queries, leading to interactions that often lack a broader …

Conversational information seeking

H Zamani, JR Trippas, J Dalton… - … and Trends® in …, 2023 - nowpublishers.com
Conversational information seeking (CIS) is concerned with a sequence of interactions
between one or more users and an information system. Interactions in CIS are primarily …

MISC: a mixed strategy-aware model integrating COMET for emotional support conversation

Q Tu, Y Li, J Cui, B Wang, JR Wen, R Yan - arxiv preprint arxiv …, 2022 - arxiv.org
Applying existing methods to emotional support conversation--which provides valuable
assistance to people who are in need--has two major limitations:(a) they generally employ a …

Zero-shot transfer learning with synthesized data for multi-domain dialogue state tracking

G Campagna, A Foryciarz, M Moradshahi… - arxiv preprint arxiv …, 2020 - arxiv.org
Zero-shot transfer learning for multi-domain dialogue state tracking can allow us to handle
new domains without incurring the high cost of data acquisition. This paper proposes new …

Few-shot intent classification and slot filling with retrieved examples

D Yu, L He, Y Zhang, X Du, P Pasupat, Q Li - arxiv preprint arxiv …, 2021 - arxiv.org
Few-shot learning arises in important practical scenarios, such as when a natural language
understanding system needs to learn new semantic labels for an emerging, resource-scarce …

A taxonomy of empathetic questions in social dialogs

E Svikhnushina, I Voinea, A Welivita… - Proceedings of the 60th …, 2022 - aclanthology.org
Effective question-asking is a crucial component of a successful conversational chatbot. It
could help the bots manifest empathy and render the interaction more engaging by …

Neural generation meets real people: Towards emotionally engaging mixed-initiative conversations

A Paranjape, A See, K Kenealy, H Li, A Hardy… - arxiv preprint arxiv …, 2020 - arxiv.org
We present Chirpy Cardinal, an open-domain dialogue agent, as a research platform for the
2019 Alexa Prize competition. Building an open-domain socialbot that talks to real people is …

Intentonomy: a dataset and study towards human intent understanding

M Jia, Z Wu, A Reiter, C Cardie… - Proceedings of the …, 2021 - openaccess.thecvf.com
An image is worth a thousand words, conveying information that goes beyond the physical
visual content therein. In this paper, we study the intent behind social media images with an …

Dialoging Resonance in Human-Chatbot Conversation: How Users Perceive and Reciprocate Recommendation Chatbot's Self-Disclosure Strategy

KH Liang, W Shi, YJ Oh, HC Wang, J Zhang… - Proceedings of the ACM …, 2024 - dl.acm.org
Using chatbots to make recommendations is increasingly popular. The design of
recommendation chatbots has mainly been taking an information-centric approach by …

Gunrock 2.0: A user adaptive social conversational system

K Liang, A Chau, Y Li, X Lu, D Yu, M Zhou… - arxiv preprint arxiv …, 2020 - arxiv.org
Gunrock 2.0 is built on top of Gunrock with an emphasis on user adaptation. Gunrock 2.0
combines various neural natural language understanding modules, including named entity …