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Llm-powered conversational voice assistants: Interaction patterns, opportunities, challenges, and design guidelines
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 …
intent and respond to their queries, leading to interactions that often lack a broader …
Conversational information seeking
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 …
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
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 …
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
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 …
new domains without incurring the high cost of data acquisition. This paper proposes new …
Few-shot intent classification and slot filling with retrieved examples
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 …
understanding system needs to learn new semantic labels for an emerging, resource-scarce …
A taxonomy of empathetic questions in social dialogs
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 …
could help the bots manifest empathy and render the interaction more engaging by …
Neural generation meets real people: Towards emotionally engaging mixed-initiative conversations
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 …
2019 Alexa Prize competition. Building an open-domain socialbot that talks to real people is …
Intentonomy: a dataset and study towards human intent understanding
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 …
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
Using chatbots to make recommendations is increasingly popular. The design of
recommendation chatbots has mainly been taking an information-centric approach by …
recommendation chatbots has mainly been taking an information-centric approach by …
Gunrock 2.0: A user adaptive social conversational system
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 …
combines various neural natural language understanding modules, including named entity …