Results 111 to 120 of about 36,775 (295)

Clustered Retrieved Augmented Generation (CRAG)

CoRR
Providing external knowledge to Large Language Models (LLMs) is a key point for using these models in real-world applications for several reasons, such as incorporating up-to-date content in a real-time manner, providing access to domain-specific knowledge, and contributing to hallucination prevention.
Simon Akesson, Frances Albert Santos
openaire   +2 more sources

Generative AI‐Driven Accelerated Discovery of Passivation Molecules for Perovskite Solar Cells

Advanced Science, EarlyView.
A generative artificial intelligence (AI) framework combining a discriminative machine learning model (SMILES‐X) and a generative language model (GPT‐2) autonomously discovers new molecular passivators for perovskite solar cells (PSCs). Through an iterative design loop, over 100 000 candidates are generated and screened, and randomly selected molecules
Adroit T. N. Fajar, Guillaume Lambard, Jessie Manopo, Ruili Guo, Kevin Septioga, Rizfi F. Pari, Toshinori Matsushima, Zhanglin Guo   +7 more
wiley   +1 more source

Document Retrieval Augmented Fine-Tuning (DRAFT) for Safety-Critical Software Assessment

IEEE Access
The evaluation of safety critical software requires a robust evaluation against complex regulatory frameworks, a process traditionally limited by manual evaluation.
Regan Bolton, Mohammadreza Sheikhfathollahi, Simon Parkinson, Vanessa Vulovic, Gary Bamford, Dan Basher, Howard Parkinson   +6 more
doaj   +1 more source

Retrieval Augmented Comic Image Generation

CoRR
We present RaCig, a novel system for generating comic-style image sequences with consistent characters and expressive gestures. RaCig addresses two key challenges: (1) maintaining character identity and costume consistency across frames, and (2) producing diverse and vivid character gestures.
Yunhao Shui, Xuekuan Wang, Feng Qiu, Yuqiu Huang, Jinzhu Li, Haoyu Zheng, Jinru Han, Zhuo Zeng, Pengpeng Zhang, Jiarui Han, Keqiang Sun   +10 more
openaire   +2 more sources

Astrocytic Phenotypic Switching in Posterior Piriform Cortex Orchestrates Bone Cancer Pain–Depression Comorbidity via Purinergic–Noradrenergic Signaling

Advanced Science, EarlyView.
Bone cancer pain and depression share a common origin: astrocytic A2‐to‐A1 transition in the posterior piriform cortex. This phenotypic shift disrupts the ATP–adenosine–A2AR–norepinephrine axis, simultaneously driving nociceptive and affective dysfunction.
Jiang‐Ping Liu, Jun‐Han Zhang, Zhi‐Xuan Tan, Wei‐Bing Yan, Ya‐Ru Yuan, Yao Liu, Bing‐Di Wei, Meng‐Qi Ding, Zhuo‐Min Fu, Ying Liu, An‐Qi Wang, Lin Ma, Yong‐Hong Li, Er‐Qing Chai, Chao‐Jun Wei   +14 more
wiley   +1 more source

Case Study on Understanding the Power of Retrieval Augmented Generation (RAG) [PDF]

Journal of Systemics, Cybernetics and Informatics
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, Richard S. Segall, Sreejith Sivasubramony   +2 more
doaj  

GRAG: Graph Retrieval-Augmented Generation

Findings of the Association for Computational Linguistics: NAACL 2025
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.
Yuntong Hu, Zhihan Lei, Zheng Zhang 0047, Bo Pan 0009, Chen Ling 0003, Liang Zhao 0002   +5 more
openaire   +2 more sources

NQO1‐Mediated Anoikis Resistance and Immune Evasion Define a High‐Risk Multi‐Omic Subtype for Precision Management of T1 High‐Grade Bladder Cancer

Advanced Science, EarlyView.
Multi‐omic profiling of T1 high‐grade bladder cancer identifies a high‐risk subtype (T1HG1) driven by NQO1, which couples anoikis resistance with immune evasion. NQO1 orchestrates macrophage–T cell crosstalk suppression via CXCL9 modulation. Pharmacological NQO1 inhibition with skullcapflavone II enhances cisplatin efficacy, representing a promising ...
Bin Guo, Chunru Xu, Shufan Fu, Qiang Cheng, Juan Li, Linkuo Shang, Gaojie Li, Yang Yang, Ying Wang, Yanqing Gong, Shengwei Xiong, Jian Fan, Changwei Yuan, Mei Zhang, Yifan Zuo, Elena Papaleo, Yue Shi, Yuan Liang, Xuesong Li, Hongzhao Li, Weimin Ci   +20 more
wiley   +1 more source

Development of a Retrieval-Augmented Generation (RAG) Chatbot [PDF]

Ovidius University Annals: Economic Sciences Series
Our research presents a Retrieval-Augmented Generation (RAG) chatbot designed for intelligent document-based question answering. Built with Streamlit as the front-end, the application integrates LLaMA2 models hosted on Replicate, alongside a document ...
Simona-Vasilica Oprea , Adela Bâra
doaj  

Helpful or Harmful? Re-Evaluating Frugality in Retrieval-Augmented Generation for Medical Question Answering

Machine Learning and Knowledge Extraction
Medical question answering (QA) systems and conversational agents have attracted growing interest as tools that can assist clinicians, support medical students, and help patients navigate complex information sources.
Richard Coric, Ebenezer F. Oloyede, Heriberto Cuayáhuitl   +2 more
doaj   +1 more source