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 5901–5950 of 10817 papers

TitleStatusHype
Learning to Select from Multiple OptionsCode0
Analogical Math Word Problems Solving with Enhanced Problem-Solution AssociationCode0
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training FrameworkCode0
A Probabilistic-Logic based Commonsense Representation Framework for Modelling Inferences with Multiple Antecedents and Varying Likelihoods—0
A Pipeline for Generating, Annotating and Employing Synthetic Data for Real World Question AnsweringCode0
Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning—0
Optimizing Explanations by Network Canonization and Hyperparameter Search—0
Iterative Scene Graph Generation with Generative Transformers—0
Weisfeiler and Leman Go RelationalCode0
Few-shot Query-Focused Summarization with Prefix-Merging—0
Diverse Multi-Answer Retrieval with Determinantal Point Processes—0
PiggyBack: Pretrained Visual Question Answering Environment for Backing up Non-deep Learning Professionals—0
Which Shortcut Solution Do Question Answering Models Prefer to Learn?Code0
Penalizing Confident Predictions on Largely Perturbed Inputs Does Not Improve Out-of-Distribution Generalization in Question Answering—0
Neuro-Symbolic Spatio-Temporal Reasoning—0
A Survey on Conversational Search and Applications in Biomedicine—0
Understanding BLOOM: An empirical study on diverse NLP tasks—0
Combining Data Generation and Active Learning for Low-Resource Question AnsweringCode0
Question Answering and Question Generation for Finnish—0
TSGP: Two-Stage Generative Prompting for Unsupervised Commonsense Question AnsweringCode0
Look, Read and Ask: Learning to Ask Questions by Reading Text in Images—0
Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference—0
SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training—0
Cross-Modal Contrastive Learning for Robust Reasoning in VQACode0
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering—0
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure—0
FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering—0
Summarizing Community-based Question-Answer Pairs—0
Open-Domain Conversational Question Answering with Historical AnswersCode0
Data-Efficient Autoregressive Document Retrieval for Fact Verification—0
Text-Aware Dual Routing Network for Visual Question Answering—0
AlignVE: Visual Entailment Recognition Based on Alignment Relations—0
Unified Question Answering in SloveneCode0
Cheater's Bowl: Human vs. Computer Search Strategies for Open-Domain Question Answering—0
Visually Grounded VQA by Lattice-based RetrievalCode0
Empowering Language Models with Knowledge Graph Reasoning for Question Answering—0
A Comparative Study of Question Answering over Knowledge BasesCode0
Introducing Semantics into Speech Encoders—0
A Survey for Efficient Open Domain Question Answering—0
Generative Long-form Question Answering: Relevance, Faithfulness and Succinctness—0
ALBERT with Knowledge Graph Encoder Utilizing Semantic Similarity for Commonsense Question Answering—0
Learning to Answer Multilingual and Code-Mixed Questions—0
Knowledge Base Completion using Web-Based Question Answering and Multimodal Fusion—0
Multi-VQG: Generating Engaging Questions for Multiple ImagesCode0
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems—0
MF2-MVQA: A Multi-stage Feature Fusion method for Medical Visual Question Answering—0
Biomedical Multi-hop Question Answering Using Knowledge Graph Embeddings and Language Models—0
Watching the News: Towards VideoQA Models that can Read—0
ERNIE-UniX2: A Unified Cross-lingual Cross-modal Framework for Understanding and Generation—0
Towards Reasoning-Aware Explainable VQA—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