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.
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.
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.
Exploring AI’s Ethical Terrain: Addressing Bias, Security, and Beyond
Exploring the potentials and limitations of Vision Language Models
An introduction to tools supporting PubMed
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
Latest findings for the use of Knowledge Graphs in the field of QA in multiple research directions
Unveiling Strategies to Enhance LLMs through Knowledge Graphs