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 5801–5850 of 10817 papers

TitleStatusHype
Joint Answering and Explanation for Visual Commonsense ReasoningCode0
BERTVision -- A Parameter-Efficient Approach for Question AnsweringCode1
Measuring CLEVRness: Blackbox testing of Visual Reasoning Models—0
UnifiedQA-v2: Stronger Generalization via Broader Cross-Format TrainingCode2
Knowledge Base Question Answering by Case-based Reasoning over SubgraphsCode1
OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence RoboticsCode0
Vision-Language Pre-Training with Triple Contrastive LearningCode2
(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering—0
SGPT: GPT Sentence Embeddings for Semantic SearchCode2
Discovering Fine-Grained Semantics in Knowledge Graph Relations—0
ST-MoE: Designing Stable and Transferable Sparse Expert ModelsCode3
Question-Answer Sentence Graph for Joint Modeling Answer Selection—0
ZeroGen: Efficient Zero-shot Learning via Dataset GenerationCode1
Privacy Preserving Visual Question Answering—0
MuLD: The Multitask Long Document BenchmarkCode1
Delving Deeper into Cross-lingual Visual Question AnsweringCode0
XAI for Transformers: Better Explanations through Conservative PropagationCode1
Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering EvaluationCode1
Partially Fake Audio Detection by Self-attention-based Fake Span Discovery—0
An experimental study of the vision-bottleneck in VQA—0
QA4QG: Using Question Answering to Constrain Multi-Hop Question GenerationCode1
PQuAD: A Persian Question Answering Dataset—0
Recognition-free Question Answering on Handwritten Document Collections—0
FedQAS: Privacy-aware machine reading comprehension with federated learningCode0
Can Open Domain Question Answering Systems Answer Visual Knowledge Questions?—0
RNN Transducers for Nested Named Entity Recognition with constraints on alignment for long sequences—0
NEWSKVQA: Knowledge-Aware News Video Question Answering—0
Survey of Hallucination in Natural Language Generation—0
Integrating question answering and text-to-SQL in PortugueseCode0
Towards Loosely-Coupling Knowledge Graph Embeddings and Ontology-based Reasoning—0
Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the OceanCode0
A Dataset for Interactive Vision-Language Navigation with Unknown Command FeasibilityCode1
Grounding Answers for Visual Questions Asked by Visually Impaired PeopleCode0
JaQuAD: Japanese Question Answering Dataset for Machine Reading ComprehensionCode1
GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records—0
Active Learning Over Multiple Domains in Natural Language Tasks—0
Semantic Annotation and Querying Framework based on Semi-structured Ayurvedic Text—0
When Do Flat Minima Optimizers Work?Code1
QALD-9-plus: A Multilingual Dataset for Question Answering over DBpedia and Wikidata Translated by Native SpeakersCode1
Learning Representations of Entities and Relations—0
Compositionality as Lexical SymmetryCode0
A Dataset for Medical Instructional Video Classification and Question AnsweringCode1
Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsCode6
TableQuery: Querying tabular data with natural languageCode2
Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequencesCode1
Transformer Module Networks for Systematic Generalization in Visual Question AnsweringCode0
Reasoning Like Program Executors—0
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and LanguagesCode1
Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent DomainsCode0
Learning to Compose Diversified Prompts for Image Emotion Classification—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