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Retrieval-augmented Generation

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TitleStatusHype
A Simple Architecture for Enterprise Large Language Model Applications based on Role based security and Clearance Levels using Retrieval-Augmented Generation or Mixture of Experts—0
ORAN-Bench-13K: An Open Source Benchmark for Assessing LLMs in Open Radio Access NetworksCode1
Faux Polyglot: A Study on Information Disparity in Multilingual Large Language Models—0
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language ModelsCode2
How do you know that? Teaching Generative Language Models to Reference Answers to Biomedical QuestionsCode2
RAMO: Retrieval-Augmented Generation for Enhancing MOOCs Recommendations—0
Are LLMs Correctly Integrated into Software Systems?—0
Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge—0
GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning—0
EventChat: Implementation and user-centric evaluation of a large language model-driven conversational recommender system for exploring leisure events in an SME context—0
NutriBench: A Dataset for Evaluating Large Language Models on Nutrition Estimation from Meal Descriptions—0
CaseGPT: a case reasoning framework based on language models and retrieval-augmented generation—0
Automated C/C++ Program Repair for High-Level Synthesis via Large Language Models—0
Meta-prompting Optimized Retrieval-augmented Generation—0
DSLR: Document Refinement with Sentence-Level Re-ranking and Reconstruction to Enhance Retrieval-Augmented Generation—0
TongGu: Mastering Classical Chinese Understanding with Knowledge-Grounded Large Language ModelsCode2
A Comparative Study of DSL Code Generation: Fine-Tuning vs. Optimized Retrieval Augmentation—0
Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning—0
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs—0
Synthetic Multimodal Question Generation—0
Why does in-context learning fail sometimes? Evaluating in-context learning on open and closed questionsCode0
Exploring Advanced Large Language Models with LLMsuite—0
Face4RAG: Factual Consistency Evaluation for Retrieval Augmented Generation in Chinese—0
Hybrid RAG-empowered Multi-modal LLM for Secure Data Management in Internet of Medical Things: A Diffusion-based Contract Approach—0
BERGEN: A Benchmarking Library for Retrieval-Augmented GenerationCode3
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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