Bao Tong (he/him)

Bao Tong (he/him)

📝 Publications

J = Journal article; C = Conference paper.

  • [J8] 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]

  • [J7] 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]

  • [J6] 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]

  • [J5] 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]

  • [C4] 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]

  • [C3] 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]

  • [J4] 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]

  • [J3] 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]

  • [J2] 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]

  • [C2] 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]

  • [C1] 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]

  • [J1] Tong Bao, Ni Ren*, Rui Luo, Baojia Wang, Gengyu Shen, and Ting 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]

🎓 Academic Service

  • Reviewer for: Scientific data, IPM, ACL ARR, AAAI, ESWA, KBS, HSSC and Scientometrics.