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 3501–3550 of 10817 papers

TitleStatusHype
Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge BasesCode0
Integrating question answering and text-to-SQL in PortugueseCode0
Crafting In-context Examples according to LMs' Parametric KnowledgeCode0
AttenWalker: Unsupervised Long-Document Question Answering via Attention-based Graph WalkingCode0
A Discrete Hard EM Approach for Weakly Supervised Question AnsweringCode0
Integrating Semantic Knowledge into Lexical Embeddings Based on Information Content MeasurementCode0
Attentive Pooling NetworksCode0
Instruction Makes a DifferenceCode0
CQASUMM: Building References for Community Question Answering Summarization CorporaCode0
Rotational Unit of MemoryCode0
Integrating Image Features with Convolutional Sequence-to-sequence Network for Multilingual Visual Question AnsweringCode0
Intelligent Assistant for People with Low Vision AbilitiesCode0
Attentive History Selection for Conversational Question AnsweringCode0
Injecting Numerical Reasoning Skills into Knowledge Base Question Answering ModelsCode0
Analyzing the Behavior of Visual Question Answering ModelsCode0
Analyzing Sustainability Reports Using Natural Language ProcessingCode0
Intent Classification in Question-Answering Using LSTM ArchitecturesCode0
Interpretable Natural Language Segmentation Based on Link GrammarCode0
Inferring Implicit Relations in Complex Questions with Language ModelsCode0
Analyzing Social Biases in Japanese Large Language ModelsCode0
Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QACode0
COV19IR : COVID-19 Domain Literature Information RetrievalCode0
Attention-over-Attention Neural Networks for Reading ComprehensionCode0
Inducing Temporal Relations from Time Anchor AnnotationCode0
Attention on Attention: Architectures for Visual Question Answering (VQA)Code0
Analyzing Semantic Faithfulness of Language Models via Input Intervention on Question AnsweringCode0
Coupling Context Modeling with Zero Pronoun Recovering for Document-Level Natural Language GenerationCode0
Indic-Transformers: An Analysis of Transformer Language Models for Indian LanguagesCode0
Counting Everyday Objects in Everyday ScenesCode0
Incremental and Iterative Learning of Answer Set Programs from Mutually Distinct ExamplesCode0
Attention Instruction: Amplifying Attention in the Middle via PromptingCode0
Counterfactual Learning from Human Proofreading Feedback for Semantic ParsingCode0
In-Context Principle Learning from MistakesCode0
Event-Centric Question Answering via Contrastive Learning and Invertible Event TransformationCode0
Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligenceCode0
Counterfactual Adversarial Learning with Representation InterpolationCode0
CounQER: A System for Discovering and Linking Count Information in Knowledge BasesCode0
QuASE: Question-Answer Driven Sentence EncodingCode0
Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question PromptsCode0
Incorporating Label Dependency for Answer Quality Tagging in Community Question Answering via CNN-LSTM-CRFCode0
Improving Retrieval-Based Question Answering with Deep Inference ModelsCode0
COSY: COunterfactual SYntax for Cross-Lingual UnderstandingCode0
Identifying Query-Relevant Neurons in Large Language Models for Long-Form TextsCode0
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized ContextsCode0
Improving the Cross-Lingual Generalisation in Visual Question AnsweringCode0
Scene Graph Prediction with Limited LabelsCode0
Improving Question Answering Performance Using Knowledge Distillation and Active LearningCode0
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question AnsweringCode0
Improving Question Answering with External KnowledgeCode0
COSMO: Conditional SEQ2SEQ-based Mixture Model for Zero-Shot Commonsense Question AnsweringCode0
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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