Exploring the OpenAlex Data Structure and Visualization Author: Qingqin Fang ( ORCID: 0009–0003–5348–4264) Introduction to OpenAlex In today’s world, the realm of research papers is brimming with countless hot topics, and the sheer volume of publications can be overwhelming.
Exploring AI’s Ethical Terrain: Addressing Bias, Security, and Beyond Author: Vaibhav Khobragade ( ORCID: 0009–0009–8807–5982) Large language models (LLMs) like OpenAI’s GPT-4, Meta’s LLaMA, and Google Gemini (previously called Bard) have showcased their vast capabilities, from passing bar exams and crafting articles to generating images and website code.
Unlocking the power of language models: A deep dive into BERT 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.
Exploring the potentials and limitations of Vision Language Models Author: Amanda Kau (ORCID: 0009–0004–4949–9284 ) The human brain is more extraordinary than any machine we could build. From an early age, many of us gain the ability to comprehend what our eyes tell us and articulate it. Furthermore, we combine evidence from all our senses to reason.
Addressing Misinformation, Bias, and Privacy Concerns Author: Wenyi Pi (ORCID: 0009–0002–2884–2771 ) Recently, the spread of false or misinformation has become an important concern for people all over the world, especially in the era of big data and multimedia, where people are faced with a flood of information that makes it difficult to determine its authenticity.
An introduction to tools supporting PubMed Author: Xuzeng He ( ORCID: 0009–0005–7317–7426) PubMed is a free Web literature search service developed and maintained by the National Center for Biotechnology Information ( NCBI ), and it is also a part of NCBI’s Entrez retrieval system that provides access to a diverse set of 38 databases.
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.
