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
COVID-19 event extraction from Twitter via extractive question answering with continuous promptsCode1
CodeQueries: A Dataset of Semantic Queries over CodeCode1
Simulating Bandit Learning from User Feedback for Extractive Question AnsweringCode1
Can Explanations Be Useful for Calibrating Black Box Models?Code1
A Few More Examples May Be Worth Billions of ParametersCode1
ReasonBERT: Pre-trained to Reason with Distant SupervisionCode1
How Optimal is Greedy Decoding for Extractive Question Answering?Code1
MarIA: Spanish Language ModelsCode1
Sequence tagging for biomedical extractive question answeringCode1
Cooperative Self-training of Machine Reading ComprehensionCode1
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attentionCode1
MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question AnsweringCode1
Look at the First Sentence: Position Bias in Question AnsweringCode1
MLQA: Evaluating Cross-lingual Extractive Question AnsweringCode1
HalluMix: A Task-Agnostic, Multi-Domain Benchmark for Real-World Hallucination Detection0
When is dataset cartography ineffective? Using training dynamics does not improve robustness against Adversarial SQuAD0
On Mechanistic Circuits for Extractive Question-Answering0
FoQA: A Faroese Question-Answering Dataset0
AmaSQuAD: A Benchmark for Amharic Extractive Question Answering0
Passage Segmentation of Documents for Extractive Question Answering0
SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table ExtractionCode0
Learning-to-Defer for Extractive Question Answering0
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 Sources0
OMoS-QA: A Dataset for Cross-Lingual Extractive Question Answering in a German Migration Context0
Clinical Reading Comprehension with Encoder-Decoder Models Enhanced by Direct Preference Optimization0
MLKD-BERT: Multi-level Knowledge Distillation for Pre-trained Language Models0
QLSC: A Query Latent Semantic Calibrator for Robust Extractive Question Answering0
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 Learning0
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding0
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought0
XAIQA: Explainer-Based Data Augmentation for Extractive Question Answering0
Towards leveraging LLMs for Conditional QA0
Adapting Pre-trained Generative Models for Extractive Question Answering0
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 GPT0
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 Scale0
Building Extractive Question Answering System to Support Human-AI Health Coaching Model for Sleep Domain0
Continually Improving Extractive QA via Human FeedbackCode0
A Frustratingly Easy Improvement for Position Embeddings via Random Padding0
Adaptive loose optimization for robust question answeringCode0
BRENT: Bidirectional Retrieval Enhanced Norwegian TransformerCode0
Show:102550
← PrevPage 1 of 3Next →

No leaderboard results yet.