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 34263450 of 10817 papers

TitleStatusHype
A Distributional and Orthographic Aggregation Model for English Derivational MorphologyCode0
Interpretable Natural Language Segmentation Based on Link GrammarCode0
InterroLang: Exploring NLP Models and Datasets through Dialogue-based ExplanationsCode0
Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and SummarisationCode0
Leveraging QA Datasets to Improve Generative Data AugmentationCode0
Interactive Machine Comprehension with Information Seeking AgentsCode0
Interactive Instance-based Evaluation of Knowledge Base Question AnsweringCode0
Interactive Natural Language-based Person SearchCode0
IntKB: A Verifiable Interactive Framework for Knowledge Base CompletionCode0
Intent Classification in Question-Answering Using LSTM ArchitecturesCode0
Integrating Semantic Knowledge into Lexical Embeddings Based on Information Content MeasurementCode0
Integrating question answering and text-to-SQL in PortugueseCode0
Intelligent Assistant for People with Low Vision AbilitiesCode0
Instruction Makes a DifferenceCode0
Integrating Image Features with Convolutional Sequence-to-sequence Network for Multilingual Visual Question AnsweringCode0
Audiopedia: Audio QA with KnowledgeCode0
Injecting Numerical Reasoning Skills into Knowledge Base Question Answering ModelsCode0
CROPE: Evaluating In-Context Adaptation of Vision and Language Models to Culture-Specific ConceptsCode0
Intrinsic Subgraph Generation for Interpretable Graph based Visual Question AnsweringCode0
Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language ModelsCode0
CRiskEval: A Chinese Multi-Level Risk Evaluation Benchmark Dataset for Large Language ModelsCode0
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question AnsweringCode0
Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QACode0
Inducing Temporal Relations from Time Anchor AnnotationCode0
Inferring Implicit Relations in Complex Questions with Language ModelsCode0
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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