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Retrieval-augmented Generation

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Showing 1926–1950 of 2196 papers

TitleStatusHype
Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools—0
Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation—0
Designing an Evaluation Framework for Large Language Models in Astronomy ResearchCode0
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts—0
Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study—0
A Multi-Source Retrieval Question Answering Framework Based on RAG—0
Unlearning Climate Misinformation in Large Language Models—0
Can GPT Redefine Medical Understanding? Evaluating GPT on Biomedical Machine Reading Comprehension—0
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented GeneratorCode0
Don't Forget to Connect! Improving RAG with Graph-based Reranking—0
Bridging the Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs—0
QUB-Cirdan at "Discharge Me!": Zero shot discharge letter generation by open-source LLM—0
Augmenting Textual Generation via Topology Aware Retrieval—0
EMERGE: Integrating RAG for Improved Multimodal EHR Predictive Modeling—0
RAGSys: Item-Cold-Start Recommender as RAG System—0
WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence—0
M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions—0
Towards Unlocking Insights from Logbooks Using AI—0
Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection—0
Hybrid Context Retrieval Augmented Generation Pipeline: LLM-Augmented Knowledge Graphs and Vector Database for Accreditation Reporting AssistanceCode0
Large Language Models Reflect Human Citation Patterns with a Heightened Citation BiasCode0
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings—0
SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge—0
RE-Adapt: Reverse Engineered Adaptation of Large Language Models—0
TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language ModelsCode0
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