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Found 3 papers, 3 papers with code
UFO: Unified Fact Obtaining for Commonsense Question Answering
UFO turns LLMs into knowledge sources and produces relevant facts (knowledge statements) for the given question.
KEPR: Knowledge Enhancement and Plausibility Ranking for Generative Commonsense Question Answering
Within the experimental models, the T5-based GenCQA with KEPR obtains the best performance, which is up to 60. 91% at the primary canonical metric Inc@3.
Coreference-aware Double-channel Attention Network for Multi-party Dialogue Reading Comprehension
The corresponding solutions contribute to the answer-oriented reasoning on a series of well-organized and thread-aware conversational contexts.
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