26 citations · 108 across the 15 of their papers we have counts for
11 papers · 1 filter
SurveyAgent-HKA: A multi-agent framework for scientific survey generation with LLMs and human knowledge augmentation
Tong Bao, Mir Tafseer Nayeem, Yi Zhao +2
Automatic scientific survey generation has become an important task in scientific document processing. The common approach of retrieving literature from a single source (e.g., arXi…
Measuring the Novelty of Biomedical Papers Using the Latent Distances between Knowledge Units
Yi Zhao, Heng Zhang, Yuzhuo Wang +3
Measuring the novelty of scientific papers is a central concern in research evaluation and scientometrics. From a recombination perspective, prior studies have largely focused on t…
Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approach
Tong Bao, Yi Zhao, Heng Zhang +1
Scientific named entity recognition (SciNER) plays a crucial role in information extraction and knowledge discovery from scientific texts. Recently, large language models (LLMs) ha…
Gender Differences in Research Topic and Method Selection in Library and Information Science: Perspectives from Three Top Journals
Chengzhi Zhang, Siqi Wei, Yi Zhao +1
Research in the social sciences has shown that there are gender differences in the selection of research methods, with women often opting for qualitative methods while men prefer q…
Do more heads imply better performance? An empirical study of team thought leaders' impact on scientific team performance
Yi Zhao, Yuzhuo Wang, Heng Zhang +4
Thought leadership plays a crucial role in boosting team performance; thus, teams with more thought leaders may perform better. However, the impact of the number of thought leaders…
Measuring Research Difficulty of Academic Papers: A Case Study in Natural Language Processing
Haochuan Li, Jingyuan Li, Yi Zhao +4
With the rapid growth of the number of academic papers, systematically evaluating the difficulty of research and its relationship to academic impact offers important significance f…
Is Higher Team Gender Diversity Correlated with Better Scientific Impact?
Chengzhi Zhang, Jiaqi Zeng, Yi Zhao
Collaborative research involving scholars of various genders constitutes a prominent theme in scientific research that has garnered substantial attention. While several studies hav…
Beyond Single-Dimension Novelty: How Combinations of Theory, Method, and Results-based Novelty Shape Scientific Impact
Yi Zhao, Yang Chenggang, Yuzhuo Wang +3
Scientific novelty drives advances at the research frontier, yet it is also associated with heightened uncertainty and potential resistance from incumbent paradigms, leading to com…
NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment
Wenqing Wu, Yi Zhao, Yuzhuo Wang +4
Novelty is a core requirement in academic publishing and a central focus of peer review, yet the growing volume of submissions has placed increasing pressure on human reviewers. Wh…
Exploring Novelty Differences between Industry and Academia: A Knowledge Entity-centric Perspective
Hongye Zhao, Yi Zhao, Chengzhi Zhang
Academia and industry each possess distinct advantages in advancing technological progress. Academia's core mission is to promote open dissemination of research results and drive d…
Quantifying the Knowledge Proximity Between Academic and Industry Research: An Entity and Semantic Perspective
Hongye Zhao, Yi Zhao, Chengzhi Zhang
The academia and industry are characterized by a reciprocal shaping and dynamic feedback mechanism. Despite distinct institutional logics, they have adapted closely in collaborativ…