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Retrieval-augmented Generation

Papers

Showing 2650 of 2196 papers

TitleStatusHype
Fine-Tuning and Prompt Engineering of LLMs, for the Creation of Multi-Agent AI for Addressing Sustainable Protein Production ChallengesCode0
Enterprise Large Language Model Evaluation Benchmark0
MMSearch-R1: Incentivizing LMMs to SearchCode3
AI Assistants to Enhance and Exploit the PETSc Knowledge Base0
Dialogic Pedagogy for Large Language Models: Aligning Conversational AI with Proven Theories of Learning0
Controlled Retrieval-augmented Context Evaluation for Long-form RAG0
QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges0
Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs0
Accurate and Energy Efficient: Local Retrieval-Augmented Generation Models Outperform Commercial Large Language Models in Medical Tasks0
T-CPDL: A Temporal Causal Probabilistic Description Logic for Developing Logic-RAG Agent0
Towards AI Search Paradigm0
Automatic Large Language Models Creation of Interactive Learning Lessons0
REIS: A High-Performance and Energy-Efficient Retrieval System with In-Storage Processing0
From RAG to Agentic: Validating Islamic-Medicine Responses with LLM Agents0
SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification0
cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax TreeCode2
Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution0
Lightweight Relevance Grader in RAGCode0
AviationLLM: An LLM-based Knowledge System for Aviation Training0
Reimagining Target-Aware Molecular Generation through Retrieval-Enhanced Aligned Diffusion0
RMIT-ADM+S at the SIGIR 2025 LiveRAG ChallengeCode1
RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition0
LTRR: Learning To Rank Retrievers for LLMsCode0
AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video UnderstandingCode0
Tree-Based Text Retrieval via Hierarchical Clustering in RAGFrameworks: Application on Taiwanese RegulationsCode0
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