26 citations · 108 across the 15 of their papers we have counts for
4 papers · 2 filters
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…
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…
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…
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…