Tong Bao

Tong Bao

About

  I am currently a Ph.D. candidate at Nanjing University of Science and Technology 🏢 NJUST, and a member of 📖 IR&TM group. My research interests include natural language processing, large language models, scientific text mining, and AI-assisted scientific discovery.

Publications

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

  2. Tong Bao, Mir Tafseer Nayeem, Yi Zhao, Davood Rafiei, Chengzhi Zhang. SurveyAgent-HKA: A Multi-agent Framework for Scientific Survey Generation with LLMs and Human Knowledge Augmentation. Knowledge-Based Systems, 2026, 352:117011. 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, 2026, 131(5):3547–3584. doi arXiv Code

  4. Yi Zhao, Heng Zhang, Yuzhuo Wang, Wenqing Wu, Tong Bao, 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, 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 (EMNLP2026), 2026. arXiv Code

  6. Tong Bao, Xinyi Yan, Yi Zhao, Heng Zhang, 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 (ASIST’2026), Bangkok, Thailand, 2026. Poster

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

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

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

  10. Tong Bao, Heng Zhang, Chengzhi Zhang. Enhancing Abstractive Summarization of Scientific Papers Using Structure Information. Expert Systems With Applications, 2025, 261:125529. doi arXiv Code

  11. Tong Bao, Mir Tafseer Nayeem, Davood Rafiei, 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 (EMNLP2025), 2025. doi arXiv Code

  12. Yi Zhao, Heng Zhang, Wenqing Wu, Tong Bao, 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 (JCDL2024), Hong Kong, China, 2024. doi

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

Find me

Email📧: tbao@njust.edu.cn