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 28712880 of 10817 papers

TitleStatusHype
Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning TaskCode0
Learning a Natural Language Interface with Neural ProgrammerCode0
Learning Conditioned Graph Structures for Interpretable Visual Question AnsweringCode0
Discourse Comprehension: A Question Answering Framework to Represent Sentence ConnectionsCode0
Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-TuningCode0
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching ModelCode0
Learned in Translation: Contextualized Word VectorsCode0
Learning a Cost-Effective Annotation Policy for Question AnsweringCode0
Learning content and context with language bias for Visual Question AnsweringCode0
Learning Intrinsic Sparse Structures within Long Short-Term MemoryCode0
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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