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Extractive Question-Answering

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TitleStatusHype
HalluMix: A Task-Agnostic, Multi-Domain Benchmark for Real-World Hallucination Detection—0
When is dataset cartography ineffective? Using training dynamics does not improve robustness against Adversarial SQuAD—0
On Mechanistic Circuits for Extractive Question-Answering—0
FoQA: A Faroese Question-Answering Dataset—0
AmaSQuAD: A Benchmark for Amharic Extractive Question Answering—0
Passage Segmentation of Documents for Extractive Question Answering—0
SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table ExtractionCode0
Learning-to-Defer for Extractive Question Answering—0
Towards Robust Extractive Question Answering Models: Rethinking the Training MethodologyCode0
Exploring Language Model Generalization in Low-Resource Extractive QACode0
Integrating SPARQL and LLMs for Question Answering over Scholarly Data Sources—0
OMoS-QA: A Dataset for Cross-Lingual Extractive Question Answering in a German Migration Context—0
Clinical Reading Comprehension with Encoder-Decoder Models Enhanced by Direct Preference Optimization—0
MLKD-BERT: Multi-level Knowledge Distillation for Pre-trained Language Models—0
QLSC: A Query Latent Semantic Calibrator for Robust Extractive Question Answering—0
From Multiple-Choice to Extractive QA: A Case Study for English and ArabicCode0
GeMQuAD : Generating Multilingual Question Answering Datasets from Large Language Models using Few Shot Learning—0
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding—0
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought—0
Learning to Generate Instruction Tuning Datasets for Zero-Shot Task AdaptationCode4
XAIQA: Explainer-Based Data Augmentation for Extractive Question Answering—0
Towards leveraging LLMs for Conditional QA—0
Learning to Filter Context for Retrieval-Augmented GenerationCode2
Adapting Pre-trained Generative Models for Extractive Question Answering—0
TOP-Training: Target-Oriented Pretraining for Medical Extractive Question AnsweringCode0
Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge DistillationCode0
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and CalibrationCode0
AGent: A Novel Pipeline for Automatically Creating Unanswerable QuestionsCode0
Accelerated materials language processing enabled by GPT—0
Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question AnsweringCode0
Mapping the Challenges of HCI: An Application and Evaluation of ChatGPT and GPT-4 for Mining Insights at Scale—0
Building Extractive Question Answering System to Support Human-AI Health Coaching Model for Sleep Domain—0
Continually Improving Extractive QA via Human FeedbackCode0
A Frustratingly Easy Improvement for Position Embeddings via Random Padding—0
Adaptive loose optimization for robust question answeringCode0
BRENT: Bidirectional Retrieval Enhanced Norwegian TransformerCode0
Bridging the Language Gap: Knowledge Injected Multilingual Question Answering—0
COVID-19 event extraction from Twitter via extractive question answering with continuous promptsCode1
Can BERT Refrain from Forgetting on Sequential Tasks? A Probing StudyCode0
ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models—0
Tokenization Consistency Matters for Generative Models on Extractive NLP TasksCode0
Momentum Contrastive Pre-training for Question Answering—0
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Model to Pre-trained Machine ReaderCode0
DyREx: Dynamic Query Representation for Extractive Question AnsweringCode0
Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering—0
Are Sample-Efficient NLP Models More Robust?—0
Findings of the VarDial Evaluation Campaign 2022Code0
Extractive Question Answering on Queries in Hindi and Tamil—0
CodeQueries: A Dataset of Semantic Queries over CodeCode1
Building the Intent Landscape of Real-World Conversational Corpora with Extractive Question-Answering Transformers—0
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