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Retrieval-augmented Generation

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Showing 1276–1300 of 2196 papers

TitleStatusHype
A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement—0
From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language QueriesCode0
GeAR: Graph-enhanced Agent for Retrieval-augmented Generation—0
Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases—0
Molly: Making Large Language Model Agents Solve Python Problem More Logically—0
EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent—0
DynaGRAG | Exploring the Topology of Information for Advancing Language Understanding and Generation in Graph Retrieval-Augmented Generation—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
Contrato360 2.0: A Document and Database-Driven Question-Answer System using Large Language Models and Agents—0
RAGONITE: Iterative Retrieval on Induced Databases and Verbalized RDF for Conversational QA over KGs with RAG—0
LLM Agent for Fire Dynamics Simulations—0
A Reality Check on Context Utilisation for Retrieval-Augmented GenerationCode0
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail KnowledgeCode0
Large Language Model Can Be a Foundation for Hidden Rationale-Based RetrievalCode0
Speech Retrieval-Augmented Generation without Automatic Speech Recognition—0
TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation—0
AlzheimerRAG: Multimodal Retrieval Augmented Generation for PubMed articles—0
Formal Language Knowledge Corpus for Retrieval Augmented Generation—0
Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning AttacksCode0
InfoTech Assistant : A Multimodal Conversational Agent for InfoTechnology Web Portal Queries—0
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education—0
HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases—0
MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering—0
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