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iTBLS: A Dataset of Interactive Conversations Over Tabular Information
This paper introduces Interactive Tables (iTBLS), a dataset of interactive conversations situated in tables from scientific articles.
gTBLS: Generating Tables from Text by Conditional Question Answering
Distilling large, unstructured text into a structured, condensed form such as tables is an open research problem.
SYNDICOM: Improving Conversational Commonsense with Error-Injection and Natural Language Feedback
In this work, we introduce SYNDICOM - a method for improving commonsense in dialogue response generation.
Multimodal Conversational AI: A Survey of Datasets and Approaches
As humans, we experience the world with all our senses or modalities (sound, sight, touch, smell, and taste).
mForms : Multimodal Form-Filling with Question Answering
This paper presents a new approach to form-filling by reformulating the task as multimodal natural language Question Answering (QA).
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