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Question Answering On Hybridqa

Metrics

ANS-EM

Results

Performance results of various models on this benchmark

Paper Title
MAFiD65.4MAFiD: Moving Average Equipped Fusion-in-Decoder for Question Answering over Tabular and Textual Data
MATE Ponter62.7MATE: Multi-view Attention for Table Transformer Efficiency
DocHopper46.3Iterative Hierarchical Attention for Answering Complex Questions over Long Documents
HYBRIDER43.8HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data
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Question Answering On Hybridqa | SOTA | HyperAI