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 1251–1300 of 10817 papers

TitleStatusHype
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question AnsweringCode1
End-to-End Training of Neural Retrievers for Open-Domain Question AnsweringCode1
Automated Crossword SolvingCode1
Enhanced Language Representation with Label Knowledge for Span ExtractionCode1
Enhancing LLM's Cognition via StructurizationCode1
Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-GenerationCode1
Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge GraphsCode1
Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under DiscussionCode1
Anchor-based Large Language ModelsCode1
Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model EvaluationCode1
Entailment Tree Explanations via Iterative Retrieval-Generation ReasonerCode1
Entity-Based Knowledge Conflicts in Question AnsweringCode1
Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence AnnotationCode1
Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question AnsweringCode1
Attention-Based Context Aware Reasoning for Situation RecognitionCode1
DialogLM: Pre-trained Model for Long Dialogue Understanding and SummarizationCode1
ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation ReasoningCode1
DEXTER: A Benchmark for open-domain Complex Question Answering using LLMsCode1
Ethics Sheets for AI TasksCode1
Automatically Generating Cause-and-Effect Questions from PassagesCode1
Dialog Inpainting: Turning Documents into DialogsCode1
DialSim: A Real-Time Simulator for Evaluating Long-Term Multi-Party Dialogue Understanding of Conversational AgentsCode1
Detecting Hate Speech in Multi-modal MemesCode1
Evaluating language models as risk scoresCode1
Visual Grounding Methods for VQA are Working for the Wrong Reasons!Code1
LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language ModelsCode1
Development and bilingual evaluation of Japanese medical large language model within reasonably low computational resourcesCode1
Automatic Evaluation of Attribution by Large Language ModelsCode1
Advances of Transformer-Based Models for News Headline GenerationCode1
Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model EvaluationCode1
BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in BanglaCode1
Event Extraction as Question Generation and AnsweringCode1
OK-VQA: A Visual Question Answering Benchmark Requiring External KnowledgeCode1
Benchmarking Geospatial Question Answering Engines using the Dataset GeoQuestions1089Code1
Example-Based Named Entity RecognitionCode1
EXAMS: A Multi-Subject High School Examinations Dataset for Cross-Lingual and Multilingual Question AnsweringCode1
Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural NetworksCode1
Explainable Neural Computation via Stack Neural Module NetworksCode1
Explaining Autonomous Driving Actions with Visual Question AnsweringCode1
Explaining NLP Models via Minimal Contrastive Editing (MiCE)Code1
BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language ModelsCode1
Exploiting Abstract Meaning Representation for Open-Domain Question AnsweringCode1
Exploring and Predicting Transferability across NLP TasksCode1
Exploring Dual Encoder Architectures for Question AnsweringCode1
DeVLBert: Learning Deconfounded Visio-Linguistic RepresentationsCode1
Exploring Sequence-to-Sequence Models for SPARQL Pattern CompositionCode1
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning StrategiesCode1
Exploring the State of the Art in Legal QA SystemsCode1
Describe Anything Model for Visual Question Answering on Text-rich ImagesCode1
Dense Passage Retrieval for Open-Domain Question AnsweringCode1
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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