SOTAVerified

Extractive Question-Answering

Papers

Showing 150 of 102 papers

TitleStatusHype
Learning to Generate Instruction Tuning Datasets for Zero-Shot Task AdaptationCode4
Learning to Filter Context for Retrieval-Augmented GenerationCode2
Simulating Bandit Learning from User Feedback for Extractive Question AnsweringCode1
How Optimal is Greedy Decoding for Extractive Question Answering?Code1
Sequence tagging for biomedical extractive question answeringCode1
Look at the First Sentence: Position Bias in Question AnsweringCode1
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attentionCode1
MLQA: Evaluating Cross-lingual Extractive Question AnsweringCode1
COVID-19 event extraction from Twitter via extractive question answering with continuous promptsCode1
Cooperative Self-training of Machine Reading ComprehensionCode1
A Few More Examples May Be Worth Billions of ParametersCode1
MarIA: Spanish Language ModelsCode1
CodeQueries: A Dataset of Semantic Queries over CodeCode1
ReasonBERT: Pre-trained to Reason with Distant SupervisionCode1
Can Explanations Be Useful for Calibrating Black Box Models?Code1
MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question AnsweringCode1
Continually Improving Extractive QA via Human FeedbackCode0
AGent: A Novel Pipeline for Automatically Creating Unanswerable QuestionsCode0
XQA-DST: Multi-Domain and Multi-Lingual Dialogue State TrackingCode0
Tokenization Consistency Matters for Generative Models on Extractive NLP TasksCode0
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and CalibrationCode0
Gendered Pronoun Resolution using BERT and an extractive question answering formulationCode0
Improving QA Generalization by Concurrent Modeling of Multiple BiasesCode0
SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table ExtractionCode0
Block-Skim: Efficient Question Answering for TransformerCode0
Towards Robust Extractive Question Answering Models: Rethinking the Training MethodologyCode0
TOP-Training: Target-Oriented Pretraining for Medical Extractive Question AnsweringCode0
Rethinking the Objectives of Extractive Question AnsweringCode0
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question AnsweringCode0
From Multiple-Choice to Extractive QA: A Case Study for English and ArabicCode0
Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge DistillationCode0
Science Checker: Extractive-Boolean Question Answering For Scientific Fact CheckingCode0
Exploring Language Model Generalization in Low-Resource Extractive QACode0
Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question AnsweringCode0
Adaptive loose optimization for robust question answeringCode0
DyREx: Dynamic Query Representation for Extractive Question AnsweringCode0
BRENT: Bidirectional Retrieval Enhanced Norwegian TransformerCode0
Learning Recurrent Span Representations for Extractive Question AnsweringCode0
On the Multilingual Capabilities of Very Large-Scale English Language ModelsCode0
Findings of the VarDial Evaluation Campaign 2022Code0
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Model to Pre-trained Machine ReaderCode0
Can BERT Refrain from Forgetting on Sequential Tasks? A Probing StudyCode0
Semantic Search as Extractive Paraphrase Span DetectionCode0
Cooperative Semi-Supervised Transfer Learning of Machine Reading Comprehension0
Cooperative Self-training of Machine Reading Comprehension0
Breaking Character: Are Subwords Good Enough for MRLs After All?0
Breaking Character: Are Subwords Good Enough for MRLs After All?0
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding0
Clinical Reading Comprehension with Encoder-Decoder Models Enhanced by Direct Preference Optimization0
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering0
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