most citedRevealing the Technology Development of Natural Language Processing: A Scientific Entity-Centric Perspective

39 citations · 231 across the 42 of their papers we have counts for

collaborators

46 papers

cs.CL2026

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…

cs.DL2026

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…

cs.CL2026

More Computational Resources Do Not Ensure Higher Scholarly Impact: Evidence from Leading NLP Conference Papers

Shuai Chen, Tong Bao, Jitong Peng +1

Computational resources are increasingly central to NLP research, but how closely reported GPU capability aligns with scholarly impact remains unclear. We analyze 13,921 ACL, EMNLP…

cs.CL2026

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…

cs.CL2026

Leveraging Human Reading Behavior for Keyphrase Extraction: A Webcam-based Eye-tracking Corpus

Chengzhi Zhang, Xinyi Yan, Wenqi Yu

Purpose: Keyphrases are statistically and semantically important textual units that can also attract readers' attention during comprehension. However, existing keyphrase extraction…

cs.DL202613 cited

Non-synchronism in Global Usage of Research Methods in Library and Information Science from 1990 to 2019

Chengzhi Zhang, Liang Tian

The global development of Library and Information Science (LIS) is influenced by various factors such as the economy, society, culture, discipline, tradition, and more. Consequentl…