TC-RAG: Turing-Complete RAG's Case study on Medical LLM Systems

[PDF] arxiv.org

RAGraph: A General Retrieval-Augmented Graph Learning Framework

X Jiang, R Qiu, Y Xu, W Zhang, Y Zhu, R Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Graph Neural Networks (GNNs) have become essential in interpreting relational data across
various domains, yet, they often struggle to generalize to unseen graph data that differs …
被引用次数：1 相关文章 所有 3 个版本
[PDF] arxiv.org

Parenting: Optimizing knowledge selection of retrieval-augmented language models with parameter decoupling and tailored tuning

Y Xu, R Zhang, X Jiang, Y Feng, Y Xiao, X Ma… - arXiv preprint arXiv …, 2024 - arxiv.org
Retrieval-Augmented Generation (RAG) offers an effective solution to the issues faced by
Large Language Models (LLMs) in hallucination generation and knowledge obsolescence …
被引用次数：1 相关文章 所有 2 个版本

Embodied AI-guided interactive digital teachers for education

Z Zhao, Z Yin, J Sun, P Hui - SIGGRAPH Asia 2024 Educator's Forum, 2024 - dl.acm.org
Traditional education is considered incapable of providing prompt feedback, facilitating
proactive learning, and giving indiscriminate responses. This has been observed in both in …
被引用次数：1 相关文章
[PDF] arxiv.org

ProveRAG: Provenance-Driven Vulnerability Analysis with Automated Retrieval-Augmented LLMs

R Fayyazi, SH Trueba, M Zuzak, SJ Yang - arXiv preprint arXiv …, 2024 - arxiv.org
In cybersecurity, security analysts face the challenge of mitigating newly discovered
vulnerabilities in real-time, with over 300,000 Common Vulnerabilities and Exposures …
相关文章 所有 2 个版本