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

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Showing 8151–8175 of 10817 papers

TitleStatusHype
Assessing SRL Frameworks with Automatic Training Data Expansion—0
Relation Extraction: Perspective from Convolutional Neural Networks—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
Relation-Guided Pre-Training for Open-Domain Question Answering—0
Get Large Language Models Ready to Speak: A Late-fusion Approach for Speech Generation—0
Relative Overfitting and Accept-Reject Framework—0
Releasing the CRaQAn (Coreference Resolution in Question-Answering): An open-source dataset and dataset creation methodology using instruction-following models—0
GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval—0
Compact Tensor Pooling for Visual Question Answering—0
Reliable, Adaptable, and Attributable Language Models with Retrieval—0
German FinBERT: A German Pre-trained Language Model—0
RELLY: Inferring Hypernym Relationships Between Relational Phrases—0
Assessing Robustness to Spurious Correlations in Post-Training Language Models—0
ReLoop: "Seeing Twice and Thinking Backwards" via Closed-loop Training to Mitigate Hallucinations in Multimodal understanding—0
Retrieval Augmented Generation for Domain-specific Question Answering—0
Retrieval-Augmented Natural Language Reasoning for Explainable Visual Question Answering—0
Retrieval Data Augmentation Informed by Downstream Question Answering Performance—0
Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering—0
Full-Time Supervision based Bidirectional RNN for Factoid Question Answering—0
GeoRSMLLM: A Multimodal Large Language Model for Vision-Language Tasks in Geoscience and Remote Sensing—0
GeoRAG: A Question-Answering Approach from a Geographical Perspective—0
CoCo-BERT: Improving Video-Language Pre-training with Contrastive Cross-modal Matching and Denoising—0
REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement—0
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment—0
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing—0
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All datasetsSQuAD2.0SQuAD1.1HotpotQAPIQABoolQCOPATriviaQASQuAD1.1 devNatural QuestionsOpenBookQATruthfulQAMultiRC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94—Unverified
2FPNet (ensemble)EM90.87—Unverified
3IE-NetV2 (ensemble)EM90.86—Unverified
4SA-Net on Albert (ensemble)EM90.72—Unverified
5SA-Net-V2 (ensemble)EM90.68—Unverified
6FPNet (ensemble)EM90.6—Unverified
7Retro-Reader (ensemble)EM90.58—Unverified
8EntitySpanFocusV2 (ensemble)EM90.52—Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49—Unverified
10EntitySpanFocus+AT (ensemble)EM90.45—Unverified