This paper presents an in-depth study of ChatGPT, a state-of-the-art language model that is
revolutionizing generative text. We provide a comprehensive analysis of its architecture …

Recently, ChatGPT, a representative large language model (LLM), has gained considerable
attention due to its powerful emergent abilities. Some researchers suggest that LLMs could …

Pre-trained language models (PLMs) are fundamental for natural language processing
applications. Most existing PLMs are not tailored to the noisy user-generated text on social …

With the rapid proliferation of scientific literature, versatile academic knowledge services
increasingly rely on comprehensive academic graph mining. Despite the availability of …

Recently, ChatGPT, a representative large language model (LLM), has gained considerable
attention. Due to their powerful emergent abilities, recent LLMs are considered as a possible …

Transfer learning is a technique utilized in deep learning applications to transmit learned
inference to a different target domain. The approach is mainly to solve the problem of a few …

Due to the exponential growth of scientific publications on the Web, there is a pressing need
to tag each paper with fine-grained topics so that researchers can track their interested fields …

Different knowledge graphs for the same domain are often uniquely housed on the Web.
Effectively linking entities from different graphs is critical for building an open and …

In many real-world scenarios (eg, academic networks, social platforms), different types of
entities are not only associated with texts but also connected by various relationships, which …

Instead of relying on human-annotated training samples to build a classifier, weakly
supervised scientific paper classification aims to classify papers only using category …