This week the Rogue Scholar science blog archive has added author affiliation name and ROR ID to the DOI metadata of about 2,500 of its 15K blog posts registered with Crossref. This makes Front Matter (the Crossref member registering Rogue Scholar DOIs) one of the top 10 ROR early adopters in Crossref metadata.
Author: Vaibhav Khobragade ( ORCID: 0009–0009–8807–5982) Introduction Large language models (LLMs) are becoming increasingly popular in natural language processing for their superior competence in various applications.
Latest findings for the use of Knowledge Graph in the field of QA in multiple research directions Author: Xuzeng He ( ORCID: 0009–0005–7317–7426) Question Answering (QA), the ability to interact with data using natural language questions and obtaining accurate results, has been a long-standing challenge in computer science dating back to the 1960s.
Transformative Advances in Language Models through External Knowledge Integration Author: Qingqin Fang ( ORCID: 0009–0003–5348–4264) Introduction In the dynamic field of natural language processing, the integration of external knowledge has emerged as a pivotal strategy for enhancing the performance of language models.
Unlocking the power of knowledge graphs in research catalogues: A deep dive into OpenAlex Author: Dhruv Gupta (ORCID: 0009–0004–7109–5403 ) Clive Humby, in 2006 rightly said, “Data is the new oil”. With data being present everywhere, it has never been more valuable.
Enhancing Open-Domain Conversational Question Answering with Knowledge-Enhanced Models and Knowledge Graphs How knowledge-enhanced language models and knowledge graphs are advancing open-domain conversational question answering Author: Wenyi Pi (ORCID: 0009-0002-2884-2771 ) When searching for information on the website, it is common to come across a flood of
Efficient creation of a stoplight report with data dashboard images Author: Yunzhong Zhang (ORCID: 0009–0002–8177–419X) Comparing data dashboards is crucial for understanding trends and performance differences. Traditionally, this task required manual effort, which was slow and sometimes inaccurate. Now, thanks to OpenAI’s GPT-4 with Vision (GPT-4V), we are able to automate and improve this process.
Unlocking the Power of Questions — A deep dive into Question Answering Systems Author: Amanda Kau (ORCID: 0009–0004–4949–9284 ) Virtual assistants have popped up on numerous websites over the years.
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I’ve been working on an inherited Shiny app at work for the past few months. One of the many frustrating things about Shiny lately has been around buttons. Well, it wasn’t really about buttons, but that’s where it started. I noticed that a number of buttons - some having file inputs, some having text inputs - did not trigger every time, and I expected them to trigger every time no matter what.