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Development of factual database on physical properties of high temperature superconductors and related compounds

Materials Research Bulletin, 1992
Abstract A factual database on physical properties of high temperature superconductors (HTSC) and related compounds has been constructed. The database contains the reliable data (recommended values) selected by experts. Database provides the ability to search numerical data on physical properties of HTSC under certain conditions (such as temperature,
A.M Panich   +3 more
openaire   +1 more source

Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QA

International Conference on Computer Aided Design
Retrieval augmented generation (RAG) enhances the accuracy and reliability of generative AI models by sourcing factual information from external databases, which is extensively employed in document-grounded question-answering (QA) tasks.
Yuan Pu   +4 more
semanticscholar   +1 more source

Trustworthy AI for Medicine: Continuous Hallucination Detection and Elimination with CHECK

arXiv.org
Large language models (LLMs) show promise in healthcare, but hallucinations remain a major barrier to clinical use. We present CHECK, a continuous-learning framework that integrates structured clinical databases with a classifier grounded in information ...
Carlos García Fernández   +8 more
semanticscholar   +1 more source

Construction of Electronic Factual Database on Very High Cycle Fatigue Properties for Structural Metallic Materials

Key Engineering Materials, 2015
As a joint project of Committees on Fatigue and Reliability Engineering in the Society of Materials Science, Japan (JSMS), an electronic database on fatigue strength of metallic materials fabricated in Japan had been constructed and published in 1996. Book style of the same data compilation had been published at the same time by the JSMS and Elsevier ...
Tatsuo Sakai   +9 more
openaire   +1 more source

mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation

arXiv.org
Large Vision-Language Models (LVLMs) have made remarkable strides in multimodal tasks such as visual question answering, visual grounding, and complex reasoning.
Chan-Wei Hu   +4 more
semanticscholar   +1 more source

A System for Comprehensive Assessment of RAG Frameworks

arXiv.org
Retrieval Augmented Generation (RAG) has emerged as a standard paradigm for enhancing the factual accuracy and contextual relevance of Large Language Models (LLMs) by integrating retrieval mechanisms.
Mattia Rengo   +3 more
semanticscholar   +1 more source

Building a Structure-Oriented Numerical Factual Database

1988
The projected, numerical factual database BEILSTEIN-ONLINE represents a natural extension of the Beilstein Handbook of Organic Chemistry which has been published for more than 100 years in more than 300 volumes. The Handbook together with the structure file cards of the literature period 1960–1980 (E-V Period) contain factual and structural information
openaire   +1 more source

Clue-Instruct: Text-Based Clue Generation for Educational Crossword Puzzles

International Conference on Language Resources and Evaluation
Crossword puzzles are popular linguistic games often used as tools to engage students in learning. Educational crosswords are characterized by less cryptic and more factual clues that distinguish them from traditional crossword puzzles.
Andrea Zugarini   +5 more
semanticscholar   +1 more source

The DANIS database system: integrating bibliographic and factual information using CDS/ISIS software and the common communication format

Journal of Information Science, 1997
This article presents the Danube Information System (DANIS), which is a database containing records on documents, persons, organisations, projects, events and standards relevant to the management of the Environmental Programme on the Danube River Basin. In the first part, the background ideas for an integrated bibliographic/factual system based on the
de Smet, Egbert, Nieuwenhuysen, Paul
openaire   +2 more sources

WeKnow-RAG: An Adaptive Approach for Retrieval-Augmented Generation Integrating Web Search and Knowledge Graphs

arXiv.org
Large Language Models (LLMs) have greatly contributed to the development of adaptive intelligent agents and are positioned as an important way to achieve Artificial General Intelligence (AGI).
Weijian Xie   +5 more
semanticscholar   +1 more source

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