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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2971–2980 of 10817 papers

Title	Date	Tasks	Status	Score
Did the Model Understand the Question?	May 14, 2018	modelQuestion Answering	CodeCode Available	5
Latent Alignment and Variational Attention	Jul 10, 2018	Hard AttentionMachine Translation	CodeCode Available	5
Dice Loss for Data-imbalanced NLP Tasks	Nov 7, 2019	Chinese Named Entity RecognitionMachine Reading Comprehension	CodeCode Available	5
Large-scale Simple Question Answering with Memory Networks	Jun 5, 2015	Question AnsweringTransfer Learning	CodeCode Available	5
Latent Alignment of Procedural Concepts in Multimodal Recipes	Jan 12, 2021	Question AnsweringReading Comprehension	CodeCode Available	5
Large-scale Exploration of Neural Relation Classification Architectures	Oct 1, 2018	ClassificationGeneral Classification	CodeCode Available	5
Dialogue Benchmark Generation from Knowledge Graphs with Cost-Effective Retrieval-Augmented LLMs	Jan 17, 2025	Dialogue GenerationKnowledge Graphs	CodeCode Available	5
An Evaluation Framework for Attributed Information Retrieval using Large Language Models	Sep 12, 2024	DiversityInformation Retrieval	CodeCode Available	5
Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base	Dec 1, 2018	Conversational Question AnsweringDecoder	CodeCode Available	5
A Neuro-Symbolic ASP Pipeline for Visual Question Answering	May 16, 2022	Question AnsweringVisual Question Answering	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