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Retrieval-augmented Generation

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Showing 626–650 of 2196 papers

TitleStatusHype
ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented GenerationCode0
Knowledge and Aptitude Augmented Generation: Adaptive Multi-Turn Interaction in LLM SystemsCode0
Knowledgeable-r1: Policy Optimization for Knowledge Exploration in Retrieval-Augmented GenerationCode0
DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAGCode0
Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation SystemsCode0
JointRank: Rank Large Set with Single PassCode0
KBAlign: Efficient Self Adaptation on Specific Knowledge BasesCode0
Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and FilteringCode0
Better RAG using Relevant Information GainCode0
IRSC: A Zero-shot Evaluation Benchmark for Information Retrieval through Semantic Comprehension in Retrieval-Augmented Generation ScenariosCode0
Interpersonal Memory Matters: A New Task for Proactive Dialogue Utilizing Conversational HistoryCode0
Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systemsCode0
IntellBot: Retrieval Augmented LLM Chatbot for Cyber Threat Knowledge DeliveryCode0
Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model GeneralizationCode0
JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering CapabilityCode0
DRAFT-ing Architectural Design Decisions using LLMsCode0
DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-TuningCode0
Incorporating Legal Structure in Retrieval-Augmented Generation: A Case Study on Copyright Fair UseCode0
Information Retrieval in the Age of Generative AI: The RGB ModelCode0
Beyond True or False: Retrieval-Augmented Hierarchical Analysis of Nuanced ClaimsCode0
DO-RAG: A Domain-Specific QA Framework Using Knowledge Graph-Enhanced Retrieval-Augmented GenerationCode0
Improving RAG for Personalization with Author Features and Contrastive ExamplesCode0
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized ContextsCode0
Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question AnsweringCode0
Benchmarking Multimodal RAG through a Chart-based Document Question-Answering Generation FrameworkCode0
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