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 5701–5750 of 10817 papers

TitleStatusHype
Data Augmentation for Biomedical Factoid Question AnsweringCode0
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering—0
KGI: An Integrated Framework for Knowledge Intensive Language Tasks—0
RuBioRoBERTa: a pre-trained biomedical language model for Russian language biomedical text miningCode1
Parameter-Efficient Abstractive Question Answering over Tables or TextCode0
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-DeploymentCode1
Knowledge Infused DecodingCode1
Knowledge Base Index Compression via Dimensionality and Precision ReductionCode0
Improving Zero-Shot Event Extraction via Sentence Simplification—0
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt LearningCode0
CLEVR-X: A Visual Reasoning Dataset for Natural Language ExplanationsCode1
PaLM: Scaling Language Modeling with PathwaysCode2
Improved and Efficient Conversational Slot Labeling through Question Answering—0
SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question AnsweringCode1
Multi-View Approach to Suggest Moderation Actions in Community Question Answering Sites—0
Question-Driven Graph Fusion Network For Visual Question Answering—0
Co-VQA : Answering by Interactive Sub Question Sequence—0
Syntax-informed Question Answering with Heterogeneous Graph Transformer—0
COOL, a Context Outlooker, and its Application to Question Answering and other Natural Language Processing Tasks—0
Multifaceted Improvements for Conversational Open-Domain Question Answering—0
SimVQA: Exploring Simulated Environments for Visual Question Answering—0
End-to-End Table Question Answering via Retrieval-Augmented Generation—0
Auto-MLM: Improved Contrastive Learning for Self-supervised Multi-lingual Knowledge Retrieval—0
Towards Differential Relational Privacy and its use in Question Answering—0
VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language TransformersCode0
Training Compute-Optimal Large Language ModelsCode6
LinkBERT: Pretraining Language Models with Document LinksCode2
ANNA: Enhanced Language Representation for Question Answering—0
STaR: Bootstrapping Reasoning With ReasoningCode2
Design and Development of Rule-based open-domain Question-Answering System on SQuAD v2.0 Dataset—0
Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-Centric SummarizationCode1
MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question AnsweringCode2
Single-Stream Multi-Level Alignment for Vision-Language PretrainingCode0
Fantastic Questions and Where to Find Them: FairytaleQA -- An Authentic Dataset for Narrative ComprehensionCode1
Learning to Answer Questions in Dynamic Audio-Visual ScenariosCode1
MQDD: Pre-training of Multimodal Question Duplicity Detection for Software Engineering DomainCode0
UKP-SQUARE: An Online Platform for Question Answering ResearchCode1
Improving Question Answering over Knowledge Graphs Using Graph Summarization—0
Towards Escaping from Language Bias and OCR Error: Semantics-Centered Text Visual Question Answering—0
Bilaterally Slimmable Transformer for Elastic and Efficient Visual Question AnsweringCode0
Gender and Racial Stereotype Detection in Legal Opinion Word Embeddings—0
A Theoretically Grounded Benchmark for Evaluating Machine Commonsense—0
VLSP 2021 - ViMRC Challenge: Vietnamese Machine Reading Comprehension—0
WuDaoMM: A large-scale Multi-Modal Dataset for Pre-training models—0
Programming Language Agnostic Mining of Code and Language Pairs with Sequence Labeling Based Question Answering—0
Targeted Extraction of Temporal Facts from Textual Resources for Improved Temporal Question Answering over Knowledge Bases—0
Build a Robust QA System with Transformer-based Mixture of ExpertsCode0
A Neural-Symbolic Approach to Natural Language UnderstandingCode0
Calibration of Machine Reading Systems at Scale—0
Clickbait Spoiling via Question Answering and Passage RetrievalCode1
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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