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 3751–3760 of 10817 papers

Title	Date	Tasks	Status	Hype
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond	Oct 23, 2023	counterfactualMultiple-choice	—Unverified	0
CXR-LLAVA: a multimodal large language model for interpreting chest X-ray images	Oct 22, 2023	DiagnosticLanguage Modeling	CodeCode Available	1
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems	Oct 22, 2023	AllLanguage Modeling	—Unverified	0
An In-Context Schema Understanding Method for Knowledge Base Question Answering	Oct 22, 2023	In-Context LearningKnowledge Base Question Answering	—Unverified	0
QA-NatVer: Question Answering for Natural Logic-based Fact Verification	Oct 22, 2023	counterfactualFact Verification	CodeCode Available	0
Merging Generated and Retrieved Knowledge for Open-Domain QA	Oct 22, 2023	DecoderOpen-Domain Question Answering	CodeCode Available	1
Retrieval-Augmented Chain-of-Thought in Semi-structured Domains	Oct 22, 2023	In-Context LearningQuestion Answering	—Unverified	0
Large Language Models and Multimodal Retrieval for Visual Word Sense Disambiguation	Oct 21, 2023	Answer GenerationImage Retrieval	CodeCode Available	0
A Simple Baseline for Knowledge-Based Visual Question Answering	Oct 20, 2023	In-Context LearningQuestion Answering	CodeCode Available	0
Self-Consistency of Large Language Models under Ambiguity	Oct 20, 2023	Question Answering	CodeCode Available	0

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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