Results 81 to 90 of about 36,775 (295)

Retrieval augmented generation with LLMs for enterprise proposal automation [PDF]

ITM Web of Conferences
Enterprise proposal writing as a response to RFPs is a very grave time-consuming undertaking since you must read and understand a stack of documentation correctly to ensure that everything is per the requirements.
S Bakiyalakshmi, C Sanjay, D Sriram
doaj   +1 more source

Retrieval-Augmented Generation with Hierarchical Knowledge

Findings of the Association for Computational Linguistics: EMNLP 2025
EMNLP 2025 ...
Haoyu Huang, Yongfeng Huang, Junjie Yang, Zhenyu Pan, Yongqiang Chen 0002, Kaili Ma 0001, Hongzhi Chen, James Cheng   +7 more
openaire   +3 more sources

A Microbial Lipid‐ATP Synthase Axis Fuels NK Cell Antitumor Activity

Advanced Science, EarlyView.
This study focuses on the mechanism by which gut microbiota‐derived outer membrane vesicles (OMVs) regulate NK cell antitumor activity. B. intestinalis is identified to decrease extra‐intestinal tumor growth via its OMVs enriched in sphingosine (SP).
Kaiyuan Yu, Xinyu Sun, Wanxia Ma, Jianming Yang, Xuan Sun, Lisong Zhang, Yumeng Liu, Tianshu Ren, Qi Wang, Jingyu Wang, Xiao Li, Xianping Peng, Liu Yang, Junqiang Lv, Zhi Yao, Zhi‐Song Zhang, Quan Wang   +16 more
wiley   +1 more source

Loops On Retrieval Augmented Generation (LoRAG)

CoRR
This paper presents Loops On Retrieval Augmented Generation (LoRAG), a new framework designed to enhance the quality of retrieval-augmented text generation through the incorporation of an iterative loop mechanism. The architecture integrates a generative model, a retrieval mechanism, and a dynamic loop module, allowing for iterative refinement of the ...
Ayush Thakur, Rashmi Vashisth
openaire   +2 more sources

TSPYL5 Promotes Triple‐Negative Breast Cancer Metastasis by Antagonizing USP10‐Mediated PTEN Stabilization to Unleash a ZEB1‐Dependent EMT Program

Advanced Science, EarlyView.
The hyperactivation of PI3K/AKT signaling in PTEN wild‐type triple‐negative breast cancer represents a clinical paradox. We delineate a novel post‐translational regulatory axis wherein the oncogene TSPYL5 competitively antagonizes the deubiquitinase USP10.
Jiaying Shi, Ming Yi, Shengyu Xie, Zhaokun Wang, Xinyue Zhang, Yangwei Zhang, Rui Tang, Yuan Yang, Yunqiang Liu   +8 more
wiley   +1 more source

Multimodal retrieval-augmented generation framework for machine translation

ETRI Journal
The development of multimodal machine translation (MMT) systems has attracted significant interest due to their potential to enhance translation accuracy with visual information.
Shijian Li
doaj   +1 more source

Enhanced Retrieval-Augmented Generation Using Low-Rank Adaptation

Applied Sciences
Recent advancements in retrieval-augmented generation (RAG) have substantially enhanced the efficiency of information retrieval. However, traditional RAG-based systems still encounter challenges, such as high latency in output decision making, the ...
Yein Choi, Sungwoo Kim, Yipene Cedric Francois Bassole, Yunsick Sung   +3 more
doaj   +1 more source

Data Auctions for Retrieval Augmented Generation

CoRR
We study the problem of data selling for Retrieval Augmented Generation (RAG) tasks in Generative AI applications. We model each buyer's valuation of a dataset with a natural coverage-based valuation function that increases with the inclusion of more relevant data points that would enhance responses to anticipated queries.
Minbiao Han, Seyed A. Esmaeili, Michael Albert 0002, Haifeng Xu   +3 more
openaire   +2 more sources

Full‐Body AI Agent: A Perspective on Multi‐Scale Collaborative AI for Systemic Biology and Precision Medicine

Advanced Science, EarlyView.
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang, Jiajia Liu, Jianguo Wen, Yangyang Luo, Zhiwei Fan, Liren Yang, Xi Hu, Ruihan Luo, Yankai Yu, Sophia Li, Weiling Zhao, Xiaobo Zhou   +11 more
wiley   +1 more source

GraphTrace: A Modular Retrieval Framework Combining Knowledge Graphs and Large Language Models for Multi-Hop Question Answering

Computers
This paper introduces GraphTrace, a novel retrieval framework that integrates a domain-specific knowledge graph (KG) with a large language model (LLM) to improve information retrieval for complex, multi-hop queries.
Anna Osipjan, Hanieh Khorashadizadeh, Akasha-Leonie Kessel, Sven Groppe, Jinghua Groppe   +4 more
doaj   +1 more source