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

Showing 32613270 of 10817 papers

TitleStatusHype
Joint Answering and Explanation for Visual Commonsense ReasoningCode0
JNLP Team: Deep Learning for Legal Processing in COLIEE 2020Code0
"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of FeasibilityCode0
Joint Learning of Answer Selection and Answer Summary Generation in Community Question AnsweringCode0
Jack the Reader -- A Machine Reading FrameworkCode0
End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory NetworksCode0
JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering CapabilityCode0
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering SystemsCode0
D3: Data Diversity Design for Systematic Generalization in Visual Question AnsweringCode0
Automated Text-to-Table for Reasoning-Intensive Table QA: Pipeline Design and Benchmarking InsightsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94Unverified
2FPNet (ensemble)EM90.87Unverified
3IE-NetV2 (ensemble)EM90.86Unverified
4SA-Net on Albert (ensemble)EM90.72Unverified
5SA-Net-V2 (ensemble)EM90.68Unverified
6FPNet (ensemble)EM90.6Unverified
7Retro-Reader (ensemble)EM90.58Unverified
8EntitySpanFocusV2 (ensemble)EM90.52Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49Unverified
10EntitySpanFocus+AT (ensemble)EM90.45Unverified