Search Results for author:
Found 8 papers, 3 papers with code
Plan-Grounded Large Language Models for Dual Goal Conversational Settings
In this paper, we tackle a dual goal mixed-initiative conversational setting where the LLM not only grounds the conversation on an arbitrary plan but also seeks to satisfy both a procedural plan and user instructions.
TWIZ-v2: The Wizard of Multimodal Conversational-Stimulus
In this report, we describe the vision, challenges, and scientific contributions of the Task Wizard team, TWIZ, in the Alexa Prize TaskBot Challenge 2022.
Rating Prediction in Conversational Task Assistants with Behavioral and Conversational-Flow Features
Predicting the success of Conversational Task Assistants (CTA) can be critical to understand user behavior and act accordingly.
Grounded Complex Task Segmentation for Conversational Assistants
Hence, when conversational assistants walk users through the steps of complex tasks, there is a need to structure the task into manageable pieces of information of the right length and complexity.
The Wizard of Curiosities: Enriching Dialogues with Fun Facts
Introducing curiosities in a conversation is a way to teach something new to the person in a pleasant and enjoyable way.
Knowledge-driven Answer Generation for Conversational Search
In this work, we propose a knowledge-driven answer generation approach for open-domain conversational search, where a conversation-wide entities' knowledge graph is used to bias search-answer generation.
BERT Embeddings Can Track Context in Conversational Search
In the last few years, in particular, the interest in conversational search is increasing, not only because of the generalization of conversational assistants but also because conversational search is a step forward in allowing a more natural interaction with the system.
Open-Domain Conversational Search Assistant with Transformers
Open-domain conversational search assistants aim at answering user questions about open topics in a conversational manner.
