most citedExploring Motivations for Algorithm Mention in the Domain of Natural Language Processing: A Deep Learning Approach

6 citations · 6 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Building a Multimodal Dataset of Academic Paper for Keyword Extraction

Jingyu Zhang, Xinyi Yan, Yi Xiang +2

Up to this point, keyword extraction task typically relies solely on textual data. Neglecting visual details and audio features from image and audio modalities leads to deficiencie…

cs.CL20266 cited

Exploring Motivations for Algorithm Mention in the Domain of Natural Language Processing: A Deep Learning Approach

Yuzhuo Wang, Yi Xiang, Chengzhi Zhang

With the rise of data-intensive science, algorithms have become central to scientific research. In academic papers, algorithms are mentioned for different purposes, such as describ…

cs.CL2026

Automatic Generation of Highlights for Academic Paper Via Prompt-based Learning

Yi Xiang, Chengzhi Zhang, Heng Zhang

Highlights provide a concise summary of the main contributions of an academic paper and help readers quickly understand its focus. However, many journals do not provide highlights,…

cs.IR2026

Enhancing Unsupervised Keyword Extraction in Academic Papers through Integrating Highlights with Abstract

Yi Xiang, Chengzhi Zhang

Automatic keyword extraction from academic papers is a key area of interest in natural language processing and information retrieval. Although previous research has mainly focused…

cs.DL2026

Beyond Pairwise Distance: Cognitive Traversal Distance as a Holistic Measure of Scientific Novelty

Yi Xiang, Pascal Welke, Chengzhi Zhang +1

Scientific novelty is a critical construct in bibliometrics and is commonly measured by aggregating pairwise distances between the knowledge units underlying a paper. While prior w…