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 38813890 of 10817 papers

TitleStatusHype
A Long Way to Go: Investigating Length Correlations in RLHFCode1
CLEVRER-Humans: Describing Physical and Causal Events the Human Way0
DSPy: Compiling Declarative Language Model Calls into Self-Improving PipelinesCode7
Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference OptimizationCode1
MapperGPT: Large Language Models for Linking and Mapping EntitiesCode1
Procedural Text Mining with Large Language ModelsCode0
Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human PreferenceCode1
Multimodal Question Answering for Unified Information ExtractionCode1
Retrieval meets Long Context Large Language Models0
Improving Automatic VQA Evaluation Using Large Language Models0
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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