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 27412750 of 10817 papers

TitleStatusHype
Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question AnsweringCode0
Beyond Seen Data: Improving KBQA Generalization Through Schema-Guided Logical Form GenerationCode0
Learning to Perform Role-Filler Binding with Schematic KnowledgeCode0
Learning to Compose Neural Networks for Question AnsweringCode0
Beyond Raw Videos: Understanding Edited Videos with Large Multimodal ModelCode0
Learning to Answer Biomedical Questions: OAQA at BioASQ 4BCode0
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language ModelsCode0
Learning to Rank Query Graphs for Complex Question Answering over Knowledge GraphsCode0
LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach PromptsCode0
Learning Representation Mapping for Relation Detection in Knowledge Base Question AnsweringCode0
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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