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 9951–9975 of 10817 papers

TitleStatusHype
Self-Training Large Language Models for Tool-Use Without Demonstrations—0
Self-Updatable Large Language Models with Parameter Integration—0
Self-Wiring Question Answering Systems—0
*SEM 2013 shared task: Semantic Textual Similarity—0
Semantic Aligned Multi-modal Transformer for Vision-LanguageUnderstanding: A Preliminary Study on Visual QA—0
Semantically Driven Auto-completion—0
Semantically Motivated Hebrew Verb-Noun Multi-Word Expressions Identification—0
Semantic Analysis of (Reflectional) Visual Symmetry: A Human-Centred Computational Model for Declarative Explainability—0
Semantic Annotation and Querying Framework based on Semi-structured Ayurvedic Text—0
Semantic Annotation of Japanese Functional Expressions and its Impact on Factuality Analysis—0
Semantic Answer Similarity for Evaluating Question Answering Models—0
Semantic Answer Type and Relation Prediction Task (SMART 2021)—0
Semantic-aware Dynamic Retrospective-Prospective Reasoning for Event-level Video Question Answering—0
Semantic-aware Modular Capsule Routing for Visual Question Answering—0
Semantic Composition in Visually Grounded Language Models—0
Semantic Compression With Large Language Models—0
Semantic Consistency for Assuring Reliability of Large Language Models—0
Semantic-enhanced Modality-asymmetric Retrieval for Online E-commerce Search—0
Semantic Equivalence Detection: Are Interrogatives Harder than Declaratives?—0
Semantic Framework based Query Generation for Temporal Question Answering over Knowledge Graphs—0
Semantic Framework for Comparison Structures in Natural Language—0
Semantic Interpretation of Superlative Expressions via Structured Knowledge Bases—0
Semantic Linking in Convolutional Neural Networks for Answer Sentence Selection—0
Semantic Modeling for Food Recommendation Explanations—0
Semantic Parsing for Single-Relation Question Answering—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