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Natural Questions

Papers

Showing 2650 of 178 papers

TitleStatusHype
CLAPNQ: Cohesive Long-form Answers from Passages in Natural Questions for RAG systemsCode1
Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints during TrainingCode1
Multi-Granularity Guided Fusion-in-DecoderCode1
Constructing and Evaluating Declarative RAG Pipelines in PyTerrierCode1
Continual Learning with Knowledge Transfer for Sentiment ClassificationCode1
On the Effectiveness of Parameter-Efficient Fine-TuningCode1
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage RetrievalCode1
FastFiD: Improve Inference Efficiency of Open Domain Question Answering via Sentence SelectionCode1
Open Domain Question Answering with A Unified Knowledge InterfaceCode1
Efficient Passage Retrieval with Hashing for Open-domain Question AnsweringCode1
End-to-End Training of Neural Retrievers for Open-Domain Question AnsweringCode1
C3VQG: Category Consistent Cyclic Visual Question GenerationCode1
Exploiting Abstract Meaning Representation for Open-Domain Question AnsweringCode1
AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training DataCode1
Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat ViolenceCode1
Event Extraction by Answering (Almost) Natural QuestionsCode1
Leveraging Passage Retrieval with Generative Models for Open Domain Question AnsweringCode1
Poisoning Retrieval Corpora by Injecting Adversarial PassagesCode1
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading ComprehensionCode1
Knowledge Guided Text Retrieval and Reading for Open Domain Question AnsweringCode1
QED: A Framework and Dataset for Explanations in Question AnsweringCode1
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL RobustnessCode1
AdANNS: A Framework for Adaptive Semantic SearchCode1
LLaSA: A Multimodal LLM for Human Activity Analysis Through Wearable and Smartphone SensorsCode1
Summarization-Based Document IDs for Generative Retrieval with Language ModelsCode0
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