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Retrieval-augmented Generation

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TitleStatusHype
Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications—0
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit—0
Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation—0
Personalized Graph-Based Retrieval for Large Language ModelsCode1
PersonaAI: Leveraging Retrieval-Augmented Generation and Personalized Context for AI-Driven Digital Avatars—0
CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System—0
Automating Legal Concept Interpretation with LLMs: Retrieval, Generation, and Evaluation—0
Are LLMs effective psychological assessors? Leveraging adaptive RAG for interpretable mental health screening through psychometric practiceCode0
ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual Learning—0
KaLM-Embedding: Superior Training Data Brings A Stronger Embedding ModelCode2
Docopilot: Improving Multimodal Models for Document-Level UnderstandingCode1
ChatHuman: Chatting about 3D Humans with Tools—0
TrustRAG: Enhancing Robustness and Trustworthiness in RAGCode2
Decoding the Flow: CauseMotion for Emotional Causality Analysis in Long-form Conversations—0
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation—0
A review of faithfulness metrics for hallucination assessment in Large Language Models—0
CancerKG.ORG A Web-scale, Interactive, Verifiable Knowledge Graph-LLM Hybrid for Assisting with Optimal Cancer Treatment and Care—0
RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented InstructionsCode2
Retrieval-Augmented Generation with Graphs (GraphRAG)Code0
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems—0
Retrieval-Augmented Generation for Mobile Edge Computing via Large Language Model—0
GASLITEing the Retrieval: Exploring Vulnerabilities in Dense Embedding-based SearchCode1
TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting—0
EdgeRAG: Online-Indexed RAG for Edge Devices—0
Dialogue Director: Bridging the Gap in Dialogue Visualization for Multimodal Storytelling—0
Plancraft: an evaluation dataset for planning with LLM agentsCode1
Enhanced Multimodal RAG-LLM for Accurate Visual Question Answering—0
Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical DomainCode0
A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement—0
Long Context vs. RAG for LLMs: An Evaluation and RevisitsCode1
Jasper and Stella: distillation of SOTA embedding modelsCode1
From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language QueriesCode0
RAG with Differential PrivacyCode1
DynaGRAG | Exploring the Topology of Information for Advancing Language Understanding and Generation in Graph Retrieval-Augmented Generation—0
Molly: Making Large Language Model Agents Solve Python Problem More Logically—0
EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent—0
Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases—0
GeAR: Graph-enhanced Agent for Retrieval-augmented Generation—0
Contrato360 2.0: A Document and Database-Driven Question-Answer System using Large Language Models and Agents—0
Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models—0
A Survey of Query Optimization in Large Language Models—0
A Silver Bullet or a Compromise for Full Attention? A Comprehensive Study of Gist Token-based Context Compression—0
RAGONITE: Iterative Retrieval on Induced Databases and Verbalized RDF for Conversational QA over KGs with RAG—0
Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp)Code1
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail KnowledgeCode0
LLM Agent for Fire Dynamics Simulations—0
A Reality Check on Context Utilisation for Retrieval-Augmented GenerationCode0
Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning AttacksCode0
Large Language Model Can Be a Foundation for Hidden Rationale-Based RetrievalCode0
AlzheimerRAG: Multimodal Retrieval Augmented Generation for PubMed articles—0
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