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 9601–9625 of 10817 papers

TitleStatusHype
Video Question Answering with Phrases via Semantic Roles—0
Video Question Generation via Cross-Modal Self-Attention Networks Learning—0
VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners—0
Video Understanding as Machine Translation—0
Vietnamese Legal Information Retrieval in Question-Answering System—0
ViLMedic: a framework for research at the intersection of vision and language in medical AI—0
VilNMN: A Neural Module Network approach to Video-Grounded Language Tasks—0
Vi-Mistral-X: Building a Vietnamese Language Model with Advanced Continual Pre-training—0
Vintern-1B: An Efficient Multimodal Large Language Model for Vietnamese—0
VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation—0
Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering—0
Vision and Language: from Visual Perception to Content Creation—0
Vision and Language Integration: Moving beyond Objects—0
Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It—0
VisionGPT: Vision-Language Understanding Agent Using Generalized Multimodal Framework—0
Vision Language Model for Interpretable and Fine-grained Detection of Safety Compliance in Diverse Workplaces—0
Vision-Language Models as Success Detectors—0
Vision Language Models Can Parse Floor Plan Maps—0
Vision-Language Models for Edge Networks: A Comprehensive Survey—0
Vision-Language Models Struggle to Align Entities across Modalities—0
Vision-Language Pretraining: Current Trends and the Future—0
Vision LLMs Are Bad at Hierarchical Visual Understanding, and LLMs Are the Bottleneck—0
Vision-to-Language Tasks Based on Attributes and Attention Mechanism—0
VisKE: Visual Knowledge Extraction and Question Answering by Visual Verification of Relation Phrases—0
VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answering—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