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 28212830 of 10817 papers

TitleStatusHype
An Improved Attention for Visual Question AnsweringCode0
Benchmarking Long-tail Generalization with Likelihood SplitsCode0
Learning Distributed Representations of Texts and Entities from Knowledge BaseCode0
Benchmarking LLM-based Relevance Judgment MethodsCode0
Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question AnsweringCode0
A Nil-Aware Answer Extraction Framework for Question AnsweringCode0
Discriminative Information Retrieval for Question Answering Sentence SelectionCode0
Discrete Subgraph Sampling for Interpretable Graph based Visual Question AnsweringCode0
Learning content and context with language bias for Visual Question AnsweringCode0
Discrete-State Variational Autoencoders for Joint Discovery and Factorization of RelationsCode0
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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