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 36713680 of 10817 papers

TitleStatusHype
Explicit Utilization of General Knowledge in Machine Reading Comprehension0
Exploring Markov Logic Networks for Question Answering0
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries0
Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?0
From text to multimodal: a survey of adversarial example generation in question answering systems0
Full Machine Translation for Factoid Question Answering0
Gated Self-Matching Networks for Reading Comprehension and Question Answering0
Don’t Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering0
Beyond Plain Spatial Knowledge: Determining Where Entities Are and Are Not Located, and For How Long0
Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering0
Show:102550
← PrevPage 368 of 1082Next →

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