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Found 5 papers, 1 papers with code
Exploring Zero and Few-shot Techniques for Intent Classification
We also show that the zero-shot method of prompting LLMs using intent descriptions
Automated Utterance Generation
Conversational AI assistants are becoming popular and question-answering is an important part of any conversational assistant.
Browsing Health: Information Extraction to Support New Interfaces for Accessing Medical Evidence
Typical information needs, such as retrieving a full list of medical interventions for a given condition, or finding the reported efficacy of a particular treatment with respect to a specific outcome of interest cannot be straightforwardly posed in typical text-box search.
ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions
Specifically, it has gates which decide whether an option can be eliminated given the passage, question pair and if so it tries to make the passage representation orthogonal to this eliminated option (akin to ignoring portions of the passage corresponding to the eliminated option).
Frustratingly Poor Performance of Reading Comprehension Models on Non-adversarial Examples
We believe that the non-adversarial dataset created as a part of this work would complement the research on adversarial evaluation and give a more realistic assessment of the ability of RC models.
