Results 101 to 110 of about 89,234 (277)
Retrieval-Augmented Generation (RAG) has emerged as a fundamental paradigm for improving Large Language Models (LLMs) by incorporating external knowledge retrieval.
Harun Elkiran, Jawad Rasheed
doaj +1 more source
The versatile CaO2@CuMOF@HAP nanohybrid demonstrates an outstanding MMP9/pH‐triggered release performance for sequential release of osteogenic growth peptide into deep‐seated tumor‐infiltrated bone destruction areas and dual ions into tumor cells, enabling efficient tumor‐associated osteolysis restoration and tumor elimination for more comprehensive ...
Lan Liu +8 more
wiley +1 more source
Chain-of-Retrieval Augmented Generation
Accepted by NeurIPS ...
Wang, Liang +5 more
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GRAG: Graph Retrieval-Augmented Generation
Naive Retrieval-Augmented Generation (RAG) focuses on individual documents during retrieval and, as a result, falls short in handling networked documents which are very popular in many applications such as citation graphs, social media, and knowledge graphs.
Hu, Yuntong +5 more
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This study identifies palmitoylation as a novel regulatory modification of SMAD4, mediated by ZDHHC22/APT2. It activates fatty acid synthesis, creating a self‐reinforcing SMAD4–FASN–palmitate feedback loop that drives pancreatic cancer growth and enhances radiotherapy sensitivity.
Yang Wang +16 more
wiley +1 more source
Case Study on Understanding the Power of Retrieval Augmented Generation (RAG) [PDF]
This paper explores how Generative AI is changing with the use of Retrieval-Augmented Generation (RAG). RAG helps improve Artificial Intelligence (AI) systems by making them more capable, efficient and accurate.
Venkata Jaipal Reddy Batthula +2 more
doaj
Retrieval Augmented Generation Data Query Technique for Pineapple Cultivation
Generative artificial intelligence is advancing at a blistering pace. Large Language Models, in particular, have sped up the development of machine learning applications.
Badril Abu Bakar +5 more
doaj +1 more source
Agentic Retrieval-Augmented Generation
In this research symposium presentation, I will introduce Agentic Retrieval-Augmented Generation (Agentic RAG), an advanced framework enhancing Large Language Models (LLMs) through the integration of retrieval systems and autonomous agents. Specifically, the discussion will highlight how Agentic RAG employs agentic behaviors including reflection ...
openaire +1 more source
Pancreatic neuroendocrine tumors frequently silence MEN1 through epigenetic mechanisms. Here, SIRT7 recruits DNMT1 to the MEN1 promoter, drives hypermethylation, and enhances DNA repair. Inhibiting SIRT7 restores MEN1, reduces MRN complex abundance, impairs double‐strand break repair, and sensitizes PanNET models to radiation, supporting SIRT7 as a ...
Jianyun Jiang +11 more
wiley +1 more source
G3BP1 Succinylation at K413 is Critical for Cardiac Function by Modulating PI3K‐AKT‐mTOR Signal Axis
Schematic illustrating the impact of G3BP1 succinylation at K413 on cardiac function. In the healthy human heart, G3BP1 succinylation maintains homeostatic mTOR signaling. In patients with dilated cardiomyopathy (DCM) and heart failure (HF), G3BP1 de‐succinylation induces RagA expression and disrupts the binding of the TSC1/2 complex, leading to the ...
Yuan Zhang +9 more
wiley +1 more source

