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 3701–3725 of 10817 papers

TitleStatusHype
Gender and Racial Stereotype Detection in Legal Opinion Word Embeddings—0
Generating Explanations in Medical Question-Answering by Expectation Maximization Inference over Evidence—0
Don’t Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering—0
Beyond Plain Spatial Knowledge: Determining Where Entities Are and Are Not Located, and For How Long—0
Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering—0
Annotating the Focus of Negation in Japanese Text—0
Fusing Bidirectional Chains of Thought and Reward Mechanisms A Method for Enhancing Question-Answering Capabilities of Large Language Models for Chinese Intangible Cultural Heritage—0
Annotating Relation Inference in Context via Question Answering—0
Character-Aware Neural Networks for Arabic Named Entity Recognition for Social Media—0
How Additional Knowledge can Improve Natural Language Commonsense Question Answering?—0
Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering—0
Do not let the history haunt you -- Mitigating Compounding Errors in Conversational Question Answering—0
Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs—0
A Framework for Developing and Evaluating Word Embeddings of Drug-named Entity—0
Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs—0
Annotating Question Decomposition on Complex Medical Questions—0
Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan—0
FuRongWang at SemEval-2017 Task 3: Deep Neural Networks for Selecting Relevant Answers in Community Question Answering—0
Extending Neural Question Answering with Linguistic Input Features—0
Extending the Frontier of ChatGPT: Code Generation and Debugging—0
EKTVQA: Generalized use of External Knowledge to empower Scene Text in Text-VQA—0
Extracting Context-Rich Entailment Rules from Wikipedia Revision History—0
Do Multi-Hop Question Answering Systems Know How to Answer the Single-Hop Sub-Questions?—0
Extracting Definitions and Hypernym Relations relying on Syntactic Dependencies and Support Vector Machines—0
Annotating Opinions in German Political News—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