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 2881–2890 of 10817 papers

Title	Date	Tasks	Status	Score
Learning Conditioned Graph Structures for Interpretable Visual Question Answering	Jun 19, 2018	Question AnsweringVisual Question Answering	CodeCode Available	5
Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering	Jun 11, 2025	Graph Question AnsweringKnowledge Graphs	CodeCode Available	5
Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering	Jul 17, 2019	Knowledge Base Question AnsweringQuestion Answering	CodeCode Available	5
Learning to Compose Neural Networks for Question Answering	Jan 7, 2016	Question Answeringreinforcement-learning	CodeCode Available	5
LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking	Apr 18, 2022	cross-modal alignmentDocument AI	CodeCode Available	5
Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization	May 28, 2019	General ClassificationMachine Translation	CodeCode Available	5
Learned in Translation: Contextualized Word Vectors	Aug 1, 2017	General ClassificationMachine Translation	CodeCode Available	5
Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning	Nov 17, 2024	Image CaptioningLanguage Modeling	CodeCode Available	5
Latent Alignment of Procedural Concepts in Multimodal Recipes	Jan 12, 2021	Question AnsweringReading Comprehension	CodeCode Available	5
Latent Alignment and Variational Attention	Jul 10, 2018	Hard AttentionMachine Translation	CodeCode Available	5

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All datasets SQuAD2.0 SQuAD1.1 HotpotQA PIQA BoolQ COPA TriviaQA SQuAD1.1 dev Natural Questions OpenBookQA TruthfulQA MultiRC

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	IE-Net (ensemble)	EM	90.94	—	Unverified
2	FPNet (ensemble)	EM	90.87	—	Unverified
3	IE-NetV2 (ensemble)	EM	90.86	—	Unverified
4	SA-Net on Albert (ensemble)	EM	90.72	—	Unverified
5	SA-Net-V2 (ensemble)	EM	90.68	—	Unverified
6	FPNet (ensemble)	EM	90.6	—	Unverified
7	Retro-Reader (ensemble)	EM	90.58	—	Unverified
8	EntitySpanFocusV2 (ensemble)	EM	90.52	—	Unverified
9	TransNets + SFVerifier + SFEnsembler (ensemble)	EM	90.49	—	Unverified
10	EntitySpanFocus+AT (ensemble)	EM	90.45	—	Unverified