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Retrieval-augmented Generation

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Showing 1676–1700 of 2196 papers

TitleStatusHype
Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented GenerationCode0
Searching for Best Practices in Retrieval-Augmented GenerationCode3
Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation—0
Optimization of Retrieval-Augmented Generation Context with Outlier Detection—0
Retrieval-augmented generation in multilingual settingsCode3
Memory^3: Language Modeling with Explicit Memory—0
SecGenAI: Enhancing Security of Cloud-based Generative AI Applications within Australian Critical Technologies of National Interest—0
Large Language Models Struggle in Token-Level Clinical Named Entity RecognitionCode0
BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical ScienceCode0
Answering real-world clinical questions using large language model based systems—0
LLM4DESIGN: An Automated Multi-Modal System for Architectural and Environmental Design—0
SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs—0
ColPali: Efficient Document Retrieval with Vision Language ModelsCode7
Development and Evaluation of a Retrieval-Augmented Generation Tool for Creating SAPPhIRE Models of Artificial Systems—0
UniGen: A Unified Framework for Textual Dataset Generation Using Large Language ModelsCode2
Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation—0
RAVEN: Multitask Retrieval Augmented Vision-Language Learning—0
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation—0
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented GenerationCode1
Which Neurons Matter in IR? Applying Integrated Gradients-based Methods to Understand Cross-Encoders—0
Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysisCode1
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented GenerationCode2
Evaluating Quality of Answers for Retrieval-Augmented Generation: A Strong LLM Is All You Need—0
Assessing "Implicit" Retrieval Robustness of Large Language Models—0
AI-native Memory: A Pathway from LLMs Towards AGI—0
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