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 16011650 of 10817 papers

TitleStatusHype
QALD-9-plus: A Multilingual Dataset for Question Answering over DBpedia and Wikidata Translated by Native SpeakersCode1
A Dataset for Medical Instructional Video Classification and Question AnsweringCode1
Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequencesCode1
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and LanguagesCode1
SCAI-QReCC Shared Task on Conversational Question AnsweringCode1
DOM-LM: Learning Generalizable Representations for HTML DocumentsCode1
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream TasksCode1
Leaf: Multiple-Choice Question GenerationCode1
Knowledge Graph Question Answering Leaderboard: A Community Resource to Prevent a Replication CrisisCode1
RuMedBench: A Russian Medical Language Understanding BenchmarkCode1
Korean-Specific Dataset for Table Question AnsweringCode1
Kformer: Knowledge Injection in Transformer Feed-Forward LayersCode1
Sequence-to-Sequence Models for Extracting Information from Registration and Legal DocumentsCode1
SCROLLS: Standardized CompaRison Over Long Language SequencesCode1
Maintaining Reasoning Consistency in Compositional Visual Question AnsweringCode1
LaTr: Layout-Aware Transformer for Scene-Text VQACode1
Comprehensive Visual Question Answering on Point Clouds through Compositional Scene ManipulationCode1
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and GroundingCode1
ScanQA: 3D Question Answering for Spatial Scene UnderstandingCode1
DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoningCode1
WebGPT: Browser-assisted question-answering with human feedbackCode1
QAFactEval: Improved QA-Based Factual Consistency Evaluation for SummarizationCode1
Learning Rich Representation of Keyphrases from TextCode1
DREAM: Improving Situational QA by First Elaborating the SituationCode1
Simple Questions Generate Named Entity Recognition DatasetsCode1
Unsupervised Dense Information Retrieval with Contrastive LearningCode1
Distilled Dual-Encoder Model for Vision-Language UnderstandingCode1
QuALITY: Question Answering with Long Input Texts, Yes!Code1
Evidentiality-guided Generation for Knowledge-Intensive NLP TasksCode1
Ditch the Gold Standard: Re-evaluating Conversational Question AnsweringCode1
LongT5: Efficient Text-To-Text Transformer for Long SequencesCode1
Dual-Key Multimodal Backdoors for Visual Question AnsweringCode1
Learning to Retrieve Passages without SupervisionCode1
Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question AnsweringCode1
Video as Conditional Graph Hierarchy for Multi-Granular Question AnsweringCode1
Change Detection Meets Visual Question AnsweringCode1
TempoQR: Temporal Question Reasoning over Knowledge GraphsCode1
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph EmbeddingsCode1
JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question AnsweringCode1
Causal Distillation for Language ModelsCode1
MetaQA: Combining Expert Agents for Multi-Skill Question AnsweringCode1
Information Theoretic Representation DistillationCode1
Debiased Visual Question Answering from Feature and Sample PerspectivesCode1
AssistSR: Task-oriented Video Segment Retrieval for Personal AI AssistantCode1
Searching the Search Space of Vision TransformerCode1
Classification-Regression for Chart ComprehensionCode1
An Optimal Algorithm for Finding Champions in Tournament GraphsCode1
SwinBERT: End-to-End Transformers with Sparse Attention for Video CaptioningCode1
VIOLET : End-to-End Video-Language Transformers with Masked Visual-token ModelingCode1
UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language ModelingCode1
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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