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Open-Ended Question Answering

Open-ended questions are defined as those that simply pose the question, without imposing any constraints on the format of the response. This distinguishes them from questions with a predetermined answer format.

Papers

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Showing 31–40 of 796 papers

TitleStatusHype
Evidentiality-guided Generation for Knowledge-Intensive NLP TasksCode1
An Empirical Study of Representation Learning for Reinforcement Learning in HealthcareCode1
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax DiseasesCode1
CoSCL: Cooperation of Small Continual Learners is Stronger than a Big OneCode1
Cross-modal Contrastive Learning for Multimodal Fake News DetectionCode1
Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender AssignmentCode1
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity RecognitionCode1
Online Class-Incremental Continual Learning with Adversarial Shapley ValueCode1
Coresets for Data-efficient Training of Machine Learning ModelsCode1
Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question AnsweringCode1
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