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Showing 26–50 of 124 papers

TitleStatusHype
Large Language Models Struggle to Learn Long-Tail KnowledgeCode1
Leveraging Passage Retrieval with Generative Models for Open Domain Question AnsweringCode1
Recitation-Augmented Language ModelsCode1
Multi-Granularity Guided Fusion-in-DecoderCode1
End-to-End Training of Neural Retrievers for Open-Domain Question AnsweringCode1
Text and Code Embeddings by Contrastive Pre-TrainingCode1
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI—0
Dense Sparse Retrieval: Using Sparse Language Models for Inference Efficient Dense Retrieval—0
Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models—0
Deep Understanding based Multi-Document Machine Reading Comprehension—0
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing—0
KgPLM: Knowledge-guided Language Model Pre-training via Generative and Discriminative Learning—0
Cost-Saving LLM Cascades with Early Abstention—0
A Copy-Augmented Generative Model for Open-Domain Question Answering—0
A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension—0
CLAM: Selective Clarification for Ambiguous Questions with Generative Language Models—0
Keyword-based Query Comprehending via Multiple Optimized-Demand Augmentation—0
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering—0
Challenges in Generalization in Open Domain Question Answering—0
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction—0
A Copy-Augmented Generative Model for Open-Domain Question Answering—0
Fine-Grained Self-Endorsement Improves Factuality and Reasoning—0
FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering—0
Contextualized Representations Using Textual Encyclopedic Knowledge—0
Improving Unsupervised Question Answering via Summarization-Informed Question Generation—0
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