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 2891–2900 of 10817 papers

Title	Date	Tasks	Status	Score
Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning	Nov 17, 2024	Image CaptioningLanguage Modeling	CodeCode Available	5
Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization	May 28, 2019	General ClassificationMachine Translation	CodeCode Available	5
Learning a Cost-Effective Annotation Policy for Question Answering	Oct 7, 2020	Question Answering	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
Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task	Dec 7, 2022	DecoderGraph Question Answering	CodeCode Available	5
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text?	Oct 1, 2018	Multi-Task Learningnamed-entity-recognition	CodeCode Available	5
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models	Nov 1, 2024	DiversityParaphrase Generation	CodeCode Available	5
Large-scale Simple Question Answering with Memory Networks	Jun 5, 2015	Question AnsweringTransfer Learning	CodeCode Available	5
Latent Alignment and Variational Attention	Jul 10, 2018	Hard AttentionMachine Translation	CodeCode Available	5
Large-scale Exploration of Neural Relation Classification Architectures	Oct 1, 2018	ClassificationGeneral Classification	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