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Retrieval-augmented Generation

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Showing 1451–1475 of 2196 papers

TitleStatusHype
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach—0
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely—0
Retrieval-Augmented Generation with Estimation of Source Reliability—0
Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering—0
Retrieval-augmented in-context learning for multimodal large language models in disease classification—0
Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation—0
Retrieval-Augmented Speech Recognition Approach for Domain Challenges—0
Retrieval Augmented Spelling Correction for E-Commerce Applications—0
Retrieval-augmented systems can be dangerous medical communicators—0
Retrieval-Augmented Test Generation: How Far Are We?—0
Retrieval Augmented Thought Process for Private Data Handling in Healthcare—0
Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines—0
Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning—0
Retrieval Meets Reasoning: Dynamic In-Context Editing for Long-Text Understanding—0
Retrieval Meets Reasoning: Even High-school Textbook Knowledge Benefits Multimodal Reasoning—0
Retrievals Can Be Detrimental: A Contrastive Backdoor Attack Paradigm on Retrieval-Augmented Diffusion Models—0
Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach—0
Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation—0
Review of Case-Based Reasoning for LLM Agents: Theoretical Foundations, Architectural Components, and Cognitive Integration—0
TestAgent: A Framework for Domain-Adaptive Evaluation of LLMs via Dynamic Benchmark Construction and Exploratory Interaction—0
Revisiting Robust RAG: Do We Still Need Complex Robust Training in the Era of Powerful LLMs?—0
Revolutionizing Retrieval-Augmented Generation with Enhanced PDF Structure Recognition—0
Reward-RAG: Enhancing RAG with Reward Driven Supervision—0
ReZero: Enhancing LLM search ability by trying one-more-time—0
RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering—0
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