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Found 9 papers, 3 papers with code
ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)
The main aim of the conversational systems is to return an appropriate answer in response to the user requests.
Improving Dialogue State Tracking with Turn-based Loss Function and Sequential Data Augmentation
While state-of-the-art Dialogue State Tracking (DST) models show promising results, all of them rely on a traditional cross-entropy loss function during the training process, which may not be optimal for improving the joint goal accuracy.
Report on the First HIPstIR Workshop on the Future of Information Retrieval
The vision of HIPstIR is that early stage information retrieval (IR) researchers get together to develop a future for non-mainstream ideas and research agendas in IR.
Conversational Information Seeking
Conversational information seeking (CIS) is concerned with a sequence of interactions between one or more users and an information system.
GRILLBot: A multi-modal conversational agent for complex real-world tasks
We present GRILLBot, an open-source multi-modal task-oriented voice assistant to help users perform complex tasks, focusing on the domains of cooking and home improvement.
DREQ: Document Re-Ranking Using Entity-based Query Understanding
While entity-oriented neural IR models have advanced significantly, they often overlook a key nuance: the varying degrees of influence individual entities within a document have on its overall relevance.
Doing Personal LAPS: LLM-Augmented Dialogue Construction for Personalized Multi-Session Conversational Search
Our results show that responses generated explicitly using extracted preferences better match user's actual preferences, highlighting the value of using extracted preferences over simple dialogue history.
