SOTAVerified

Question Answering

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

Papers

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Showing 3271–3280 of 10817 papers

TitleStatusHype
Bilingual Active Learning for Relation Classification via Pseudo Parallel Corpora—0
Bring Remote Sensing Object Detect Into Nature Language Model: Using SFT Method—0
A Novel Attention-based Aggregation Function to Combine Vision and Language—0
End-to-End Vision Tokenizer Tuning—0
Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on an FPGA—0
Enforcing Reasoning in Visual Commonsense Reasoning—0
Dual Embeddings and Metrics for Relational Similarity—0
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too—0
Dual Constrained Question Embeddings with Relational Knowledge Bases for Simple Question Answering—0
Dual Co-Matching Network for Multi-choice Reading Comprehension—0
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All datasetsSQuAD2.0SQuAD1.1HotpotQAPIQABoolQCOPATriviaQASQuAD1.1 devNatural QuestionsOpenBookQATruthfulQAMultiRC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94—Unverified
2FPNet (ensemble)EM90.87—Unverified
3IE-NetV2 (ensemble)EM90.86—Unverified
4SA-Net on Albert (ensemble)EM90.72—Unverified
5SA-Net-V2 (ensemble)EM90.68—Unverified
6FPNet (ensemble)EM90.6—Unverified
7Retro-Reader (ensemble)EM90.58—Unverified
8EntitySpanFocusV2 (ensemble)EM90.52—Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49—Unverified
10EntitySpanFocus+AT (ensemble)EM90.45—Unverified