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 9601–9650 of 10817 papers

TitleStatusHype
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
VISREAS: Complex Visual Reasoning with Unanswerable Questions—0
VisScience: An Extensive Benchmark for Evaluating K12 Educational Multi-modal Scientific Reasoning—0
VISTA-LLAMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens—0
Vista-LLaMA: Reliable Video Narrator via Equal Distance to Visual Tokens—0
Visual7W: Grounded Question Answering in Images—0
Visual Attention Model for Name Tagging in Multimodal Social Media—0
Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings—0
Visual Commonsense based Heterogeneous Graph Contrastive Learning—0
Visual Entailment: A Novel Task for Fine-Grained Image Understanding—0
Visual Entailment Task for Visually-Grounded Language Learning—0
Visual Environment-Interactive Planning for Embodied Complex-Question Answering—0
Visual Explanations from Hadamard Product in Multimodal Deep Networks—0
Visual Graph Question Answering with ASP and LLMs for Language Parsing—0
Visual Grounding Strategies for Text-Only Natural Language Processing—0
Visual Hallucination: Definition, Quantification, and Prescriptive Remediations—0
Visual Instruction Bottleneck Tuning—0
Visualizing Sentiment Analysis on a User Forum—0
Visually Guided Spatial Relation Extraction from Text—0
Visual Madlibs: Fill in the Blank Description Generation and Question Answering—0
Visual Madlibs: Fill in the blank Image Generation and Question Answering—0
Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem—0
Visual Question Answering as a Meta Learning Task—0
Visual Question Answering as a Multi-Task Problem—0
Visual Question Answering as Reading Comprehension—0
Visual Question Answering: A Survey on Techniques and Common Trends in Recent Literature—0
Visual question answering based evaluation metrics for text-to-image generation—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