Tong Bao

Tong Bao

📝 Publications

  1. Tong Bao, Yi Zhao, Heng Zhang, and Chengzhi Zhang. Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approach. Expert Systems with Applications, 333: 133983, 2027. [DOI] [arXiv] [Code]

  2. Tong Bao, Mir Tafseer Nayeem, Yi Zhao, Davood Rafiei, and Chengzhi Zhang. SurveyAgent-HKA: A Multi-agent Framework for Scientific Survey Generation with LLMs and Human Knowledge Augmentation. Knowledge-Based Systems, 352: 117011, 2026. [DOI] [arXiv] [Code]

  3. Wenqing Wu, Chengzhi Zhang, Yi Zhao, Tong Bao. Impact of Large Language Models on Peer Review Opinions from a Fine-grained Perspective: Evidence from Top Conference Proceedings in AI. Scientometrics, 131(5): 3547–3584, 2026. [DOI] [arXiv] [Code]

  4. Yi Zhao, Heng Zhang, Yuzhuo Wang, Wenqing Wu, Tong Bao, and Chengzhi Zhang. Measuring the Novelty of Biomedical Papers Using the Latent Distances between Knowledge Units. Journal of Information Science, 2027. [DOI] [arXiv]

  5. Shuai Chen, Tong Bao, Jitong Peng, and Chengzhi Zhang. More Computational Resources Do Not Ensure Higher Scholarly Impact: Evidence from Leading NLP Conference Papers. In Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026), 2026. [arXiv] [Code]

  6. Tong Bao, Xinyi Yan, Yi Zhao, Heng Zhang, and Chengzhi Zhang. Structure before Text: Evaluating LLMs on Hierarchical Outline Generation for Scientific Surveys. In Proceedings of the 89th Annual Meeting of the Association for Information Science and Technology (ASIS&T 2026), Bangkok, Thailand, 2026. [Poster]

  7. Yi Zhao, Yang Chenggang, Yuzhuo Wang, Tong Bao, Heng Zhang, and Chengzhi Zhang. Beyond Single-Dimension Novelty: How Combinations of Theory, Method, and Results-based Novelty Shape Scientific Impact. In Proceedings of the Joint Workshop of the 6th AI + Informetrics and the 7th Extraction and Evaluation of Knowledge Entities from Scientific Documents (AII-EEKE 2026), 2026. [arXiv]

  8. Tong Bao, Yi Zhao, Jin Mao, and Chengzhi Zhang. Examining Linguistic Shifts in Academic Writing Before and After the Launch of ChatGPT: A Study on Preprint Papers. Scientometrics, 130(7): 3597–3627, 2025. [DOI] [arXiv]

  9. Wenqing Wu, Chengzhi Zhang, Tong Bao, and Yi Zhao. SC4ANM: Identifying Optimal Section Combinations for Automated Novelty Prediction in Academic Papers. Expert Systems with Applications, 273: 126778, 2025. [DOI] [arXiv] [Code]

  10. Tong Bao, Heng Zhang, and Chengzhi Zhang. Enhancing Abstractive Summarization of Scientific Papers Using Structure Information. Expert Systems with Applications, 261: 125529, 2025. [DOI] [arXiv] [Code]

  11. Tong Bao, Mir Tafseer Nayeem, Davood Rafiei, and Chengzhi Zhang. SurveyGen: Quality-Aware Scientific Survey Generation with Large Language Models. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), 2025. [DOI] [arXiv] [Code]

  12. Yi Zhao, Heng Zhang, Wenqing Wu, Tong Bao, and Chengzhi Zhang. Measuring the Novelty of Scientific Papers Based on the Latent Distance Between Pairs of MeSH Terms. In Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries (JCDL 2024), Hong Kong, China, 2024. [DOI]

  13. Tong Bao, Ning Ren, Rui Luo, Bin Wang, Guoshuai Shen, and Tao Guo. A BERT-based Hybrid Short Text Classification Model Incorporating CNN and Attention-based BiGRU. Journal of Organizational and End User Computing, 33(6): 1–21, 2021. [DOI]