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Found 5 papers, 2 papers with code
Automated Interactive Domain-Specific Conversational Agents that Understand Human Dialogs
To the best of our knowledge, AutoConcierge is the first automated conversational agent that can realistically converse like a human and provide help to humans based on truly understanding human utterances.
Reliable Natural Language Understanding with Large Language Models and Answer Set Programming
NLU applications developed using the STAR framework are also explainable: along with the predicates generated, a justification in the form of a proof tree can be produced for a given output.
Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering
The visual retriever aims to retrieve relevant knowledge, and the visual reader seeks to predict answers based on given knowledge.
`Just because you are right, doesn't mean I am wrong': Overcoming a bottleneck in development and evaluation of Open-Ended VQA tasks
GQA (CITATION) is a dataset for real-world visual reasoning and compositional question answering.
'Just because you are right, doesn't mean I am wrong': Overcoming a Bottleneck in the Development and Evaluation of Open-Ended Visual Question Answering (VQA) Tasks
GQA~\citep{hudson2019gqa} is a dataset for real-world visual reasoning and compositional question answering.
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