Results 91 to 100 of about 68,169 (294)

Reward-RAG: Enhancing RAG with Reward Driven Supervision

CoRR
In this paper, we introduce Reward-RAG, a novel approach designed to enhance the Retrieval-Augmented Generation (RAG) model through Reward-Driven Supervision. Unlike previous RAG methodologies, which focus on training language models (LMs) to utilize external knowledge retrieved from external sources, our method adapts retrieval information to specific
Thang Nguyen, Peter Chin 0001, Yu-Wing Tai   +2 more
openaire   +2 more sources

A novel quantitative fluorescent reporter assay for RAG targets and RAG activity

Frontiers in Immunology, 2013
Recombination-Activating Genes (RAG) 1 and 2 form the site specific recombinase that mediates V(D)J recombination, a process of DNA editing required for lymphocyte development and responsible for their diverse repertoire of antigen receptors. Mistargeted
Ines eTrancoso, Marie eBonnet, Rui eGardner, Jorge eCarneiro, Vasco M Barreto, Jocelyne eDemengeot, Leonor M Sarmento   +6 more
doaj   +1 more source

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

Advanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source

FB-RAG: Improving RAG with Forward and Backward Lookup

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
Accepted at Findings of AACL ...
Kushal Chawla, Alfy Samuel, Anoop Kumar, Daben Liu   +3 more
openaire   +4 more sources

A Generalizable Framework for Building Executable Domain‐Specific Large Language Models Under Data Scarcity: Demonstration on Semiconductor Technology Computer‐Aided Design Simulation

Advanced Intelligent Systems, EarlyView.
A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang, Zhenhua Wu, Yu Liu, Kai Chang, Shaohua Wu   +4 more
wiley   +1 more source

Inteligência artificial customizada e automação de processos: por que o ChatGPT não serve para organizações?

Organicom
Discutem-se as características dos modelos de geração de linguagem da subárea da inteligência artificial conhecida como generativa (IAG) e seu possível uso no ambiente organizacional a partir do produto ChatGPT.
Márcio Carneiro dos Santos
doaj  

Evaluation of large language models and retrieval-augmented generation for clinical reasoning in pediatric myopia: a 50-case real-world study

Scientific Reports
To evaluate the clinical reasoning ability of large language models (LLMs) and retrieval-augmented generation (RAG) systems in pediatric myopia management using a real-world, expert-annotated case set covering diverse refractive, pathological, and high ...
Daohuan Kang, Kaikai Zhao, Deji Cheng, Lu Yuan, Wen Sun, Kai Jin   +5 more
doaj   +1 more source

The role of venture‐financed startups in innovation for US agriculture

American Journal of Agricultural Economics, EarlyView.
Abstract To evaluate the role played by startup companies in the innovation ecosystem of US agriculture, we compile a unique dataset of 6024 new entrants founded 1987–2019 that details their financing lifecycles, annual economic performance, and patenting activities.
Gregory D. Graff, Charles A. W. de Grazia, Nicholas E. Rada   +2 more
wiley   +1 more source

DMQR-RAG: Diverse Multi-Query Rewriting for RAG

CoRR
Large language models often encounter challenges with static knowledge and hallucinations, which undermine their reliability. Retrieval-augmented generation (RAG) mitigates these issues by incorporating external information. However, user queries frequently contain noise and intent deviations, necessitating query rewriting to improve the relevance of ...
Zhicong Li, Jiahao Wang, Zhishu Jiang, Hangyu Mao, Zhongxia Chen, Jiazhen Du, Yuanxing Zhang, Fuzheng Zhang, Di Zhang 0026, Yong Liu 0018   +9 more
openaire   +2 more sources

“Rag-Bushes”1 [PDF]

Nature, 1879
A REMARKABLE instance of this custom existed (I am referring to twenty-five years ago) in Ceylon. On the West Coast, on the road between Chilaw and Jaifna, at a place—the name of which, after so many years' absence, I forget—was a vast collection of rag offerings suspended to the bushes through which the road was cut. It went by the name of “Rag Fair,”
openaire   +2 more sources