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 11111120 of 10817 papers

TitleStatusHype
A Long Way to Go: Investigating Length Correlations in RLHFCode1
Multimodal Question Answering for Unified Information ExtractionCode1
Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human PreferenceCode1
Integrating UMLS Knowledge into Large Language Models for Medical Question AnsweringCode1
Making Retrieval-Augmented Language Models Robust to Irrelevant ContextCode1
Fool Your (Vision and) Language Model With Embarrassingly Simple PermutationsCode1
A Framework for Inference Inspired by Human Memory MechanismsCode1
Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language ModelsCode1
Toloka Visual Question Answering BenchmarkCode1
Spider4SPARQL: A Complex Benchmark for Evaluating Knowledge Graph Question Answering SystemsCode1
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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