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Proactive Conversational AI: A Comprehensive Survey of Advancements and Opportunities
Dialogue systems are designed to offer human users social support or functional services
through natural language interactions. Traditional conversation research has put significant …
through natural language interactions. Traditional conversation research has put significant …
Dialogstudio: Towards richest and most diverse unified dataset collection for conversational ai
Despite advancements in conversational AI, language models encounter challenges to
handle diverse conversational tasks, and existing dialogue dataset collections often lack …
handle diverse conversational tasks, and existing dialogue dataset collections often lack …
Ambrosia: A benchmark for parsing ambiguous questions into database queries
Practical semantic parsers are expected to understand user utterances and map them to
executable programs, even when these are ambiguous. We introduce a new benchmark …
executable programs, even when these are ambiguous. We introduce a new benchmark …
CHIRON: Rich character representations in long-form narratives
Characters are integral to long-form narratives, but are poorly understood by existing story
analysis and generation systems. While prior work has simplified characters via graph …
analysis and generation systems. While prior work has simplified characters via graph …
Resolving ambiguities in text-to-image generative models
Natural language often contains ambiguities that can lead to misinterpretation and
miscommunication. While humans can handle ambiguities effectively by asking clarifying …
miscommunication. While humans can handle ambiguities effectively by asking clarifying …
Is the elephant flying? resolving ambiguities in text-to-image generative models
Natural language often contains ambiguities that can lead to misinterpretation and
miscommunication. While humans can handle ambiguities effectively by asking clarifying …
miscommunication. While humans can handle ambiguities effectively by asking clarifying …
Using textual interface to align external knowledge for end-to-end task-oriented dialogue systems
Traditional end-to-end task-oriented dialogue systems have been built with a modularized
design. However, such design often causes misalignment between the agent response and …
design. However, such design often causes misalignment between the agent response and …
Intent disambiguation for task-oriented dialogue systems
Task-Oriented Dialogue Systems (TODS) have been widely deployed for domain specific
virtual assistants at contact centres to route customers' calls or deliver information needs of …
virtual assistants at contact centres to route customers' calls or deliver information needs of …
[PDF][PDF] Isabel: An inclusive and collaborative task-oriented dialogue system
In the rapidly evolving landscape of multimodal interactive technologies, a critical gap
persists in their utility and reach across diverse user populations. These technologies, while …
persists in their utility and reach across diverse user populations. These technologies, while …
[PDF][PDF] The Measurement of Knowledge in Knowledge Graphs
Abstract Knowledge graphs (KG) have emerged as comprehensive tools to enable
knowledge discovery. Knowledge representation learning learns knowledge graph …
knowledge discovery. Knowledge representation learning learns knowledge graph …