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 4951–5000 of 10817 papers

TitleStatusHype
Analogical Math Word Problems Solving with Enhanced Problem-Solution AssociationCode0
Optimizing Explanations by Network Canonization and Hyperparameter Search—0
AIONER: All-in-one scheme-based biomedical named entity recognition using deep learningCode1
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
Weisfeiler and Leman Go RelationalCode0
Iterative Scene Graph Generation with Generative Transformers—0
Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning—0
CREPE: Open-Domain Question Answering with False PresuppositionsCode1
Penalizing Confident Predictions on Largely Perturbed Inputs Does Not Improve Out-of-Distribution Generalization in Question Answering—0
Diverse Multi-Answer Retrieval with Determinantal Point Processes—0
Which Shortcut Solution Do Question Answering Models Prefer to Learn?Code0
Few-shot Query-Focused Summarization with Prefix-Merging—0
PiggyBack: Pretrained Visual Question Answering Environment for Backing up Non-deep Learning Professionals—0
A Survey on Conversational Search and Applications in Biomedicine—0
Frustratingly Easy Label Projection for Cross-lingual TransferCode1
Neuro-Symbolic Spatio-Temporal Reasoning—0
Understanding BLOOM: An empirical study on diverse NLP tasks—0
Combining Data Generation and Active Learning for Low-Resource Question AnsweringCode0
Seeing What You Miss: Vision-Language Pre-training with Semantic Completion LearningCode1
Question Answering and Question Generation for Finnish—0
TSGP: Two-Stage Generative Prompting for Unsupervised Commonsense Question AnsweringCode0
Self-supervised vision-language pretraining for Medical visual question answeringCode1
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
Cross-Modal Contrastive Learning for Robust Reasoning in VQACode0
SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training—0
Hengam: An Adversarially Trained Transformer for Persian Temporal TaggingCode1
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering—0
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure—0
Visual Programming: Compositional visual reasoning without trainingCode2
FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering—0
Text-Aware Dual Routing Network for Visual 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
I Can't Believe There's No Images! Learning Visual Tasks Using only Language SupervisionCode1
Visual Commonsense-aware Representation Network for Video CaptioningCode1
AlignVE: Visual Entailment Recognition Based on Alignment Relations—0
Unified Question Answering in SloveneCode0
RetroMAE v2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language ModelsCode2
Holistic Evaluation of Language ModelsCode4
Galactica: A Large Language Model for ScienceCode4
Cheater's Bowl: Human vs. Computer Search Strategies for Open-Domain Question Answering—0
PromptCap: Prompt-Guided Task-Aware Image CaptioningCode1
A Survey for Efficient Open Domain Question Answering—0
MapQA: A Dataset for Question Answering on Choropleth MapsCode1
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
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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