Publications

* indicates equal contribution. Please refer to my Google Scholar profile for the full list.

Zhang, Z.*, Zhang-Li, D.*, Yu, J., Gong, L., Zhou, J., Liu, Z., Hou, L., Li, J. (2024). Simulating Classroom Education with LLM-Empowered Agents. NAACL 2025. [pdf]

Sabour, S., Liu, S., Zhang, Z., Liu, J. M., Zhou, J., … Huang, M. (2024). EmoBench: Evaluating the Emotional Intelligence of Large Language Models. ACL 2024. [pdf]
Jifan Yu*, Xiaozhi Wang*, Shangqing Tu*, … Zhang, Z., … Li, J. (2024) KoLA: Carefully Benchmarking World Knowledge of Large Language Models. ICLR 2024 [pdf]
Zhang-Li, D.*, Zhang, Z.*, Yu, J., Yin, J. L. J., Tu, S., Gong, L., … Li, J. (2024). Awaking the Slides: A Tuning-free and Knowledge-regulated AI Tutoring System via Language Model Coordination. KDD 2025 [pdf]

Zhang, Z., Yu, J., Li, J., Hou, L. (2023). Exploring the Cognitive Knowledge Structure of Large Language Models: An Educational Diagnostic Assessment Approach. EMNLP 2023 Findings. [pdf]
Tu, S.*, Zhang, Z.*, Yu, J., Li, C., Zhang, S., Yao, Z., … Li, J. (2023). LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach Prompts. CIKM 2023. [pdf]

Preprints

Zhang, Z., Li, R., Kabir, T., Boyd-Graber, J. (2025). NAVIG: Natural Language-guided Analysis with Vision Language Models for Image Geo-localization. arXiv preprint arXiv:2502.14638. [pdf]
Yu, J., Zhang, Z., Zhang-li, D., Tu, S., Hao, Z., Li, R. M., … Sun, M. (2024). From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents. arXiv preprint arXiv:2409.03512. [pdf]
Zhong, Q., Yu, J., Zhang, Z., Mao, Y., Wang, Y., Lin, Y., … & Tang, J. (2022). Towards a General Pre-training Framework for Adaptive Learning in MOOCs. arXiv preprint arXiv:2208.04708. [pdf]
Zhang-Li, D., Lin, N., Yu, J., Zhang, Z., Yao, Z., … Li, J. (2024). Reverse That Number! Decoding Order Matters in Arithmetic Learning. arXiv preprint arXiv:2403.05845. [pdf]