| Artificial general intelligence (AGI) for education E Latif, G Mai, M Nyaaba, X Wu, N Liu, G Lu arXiv preprint arXiv:2304.12479, 2023 | 112 | 2023 |
| Applying large language models and chain-of-thought for automatic scoring GG Lee, E Latif, X Wu, N Liu, X Zhai Computers and Education: Artificial Intelligence 6, 100213, 2024 | 87 | 2024 |
| Infobench: Evaluating instruction following ability in large language models Y Qin, K Song, Y Hu, W Yao, S Cho, X Wang, X Wu, F Liu, P Liu, D Yu ACL Finding 2024, 2024 | 67 | 2024 |
| Usable XAI: 10 strategies towards exploiting explainability in the LLM era X Wu, H Zhao, Y Zhu, Y Shi, F Yang, T Liu, X Zhai, W Yao, J Li, M Du, ... arXiv preprint arXiv:2403.08946, 2024 | 41 | 2024 |
| Matching exemplar as next sentence prediction (mensp): Zero-shot prompt learning for automatic scoring in science education X Wu, X He, T Liu, N Liu, X Zhai International conference on artificial intelligence in education, 401-413, 2023 | 36 | 2023 |
| Black-box backdoor defense via zero-shot image purification Y Shi, M Du, X Wu, Z Guan, J Sun, N Liu Advances in Neural Information Processing Systems 36, 57336-57366, 2023 | 30 | 2023 |
| From language modeling to instruction following: Understanding the behavior shift in llms after instruction tuning X Wu, W Yao, J Chen, X Pan, X Wang, N Liu, D Yu NAACL 2024, 2023 | 30 | 2023 |
| Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation X Wu, H Zhou, Y Shi, W Yao, X Huang, N Liu Proceedings of the ACM on Web Conference 2024, 3566-3575, 2024 | 27* | 2024 |
| A survey of graph prompting methods: techniques, applications, and challenges X Wu, K Zhou, M Sun, X Wang, N Liu arXiv preprint arXiv:2303.07275, 2023 | 17 | 2023 |
| Retrieval-enhanced knowledge editing for multi-hop question answering in language models Y Shi, Q Tan, X Wu, S Zhong, K Zhou, N Liu CIKM 2024, 2024 | 16* | 2024 |
| A systematic assessment of openai o1-preview for higher order thinking in education E Latif, Y Zhou, S Guo, Y Gao, L Shi, M Nayaaba, G Lee, L Zhang, ... arXiv preprint arXiv:2410.21287, 2024 | 10 | 2024 |
| Rethinking the impacts of overfitting and feature quality on small-scale video classification X Wu, F Yang, T Zhou, X Lin Proceedings of the 29th ACM International conference on multimedia, 4760-4764, 2021 | 5 | 2021 |
| Unveiling scoring processes: Dissecting the differences between llms and human graders in automatic scoring X Wu, PP Saraf, GG Lee, E Latif, N Liu, X Zhai TKNL 2025, 2024 | 3 | 2024 |
| Lmod: A large multimodal ophthalmology dataset and benchmark for large vision-language models Z Qin, Y Yin, D Campbell, X Wu, K Zou, YC Tham, N Liu, X Zhang, Q Chen NAACL Finding 2025, 2024 | 2 | 2024 |
| NoPPA: Non-Parametric Pairwise Attention Random Walk Model for Sentence Representation X Wu, Z Zhao, N Liu arXiv preprint arXiv:2302.12903, 2023 | 1 | 2023 |
| Interpreting and Steering LLMs with Mutual Information-based Explanations on Sparse Autoencoders X Wu, J Yuan, W Yao, X Zhai, N Liu arXiv preprint arXiv:2502.15576, 2025 | | 2025 |
| Self-Regularization with Latent Space Explanations for Controllable LLM-based Classification X Wu, W Yu, X Zhai, N Liu arXiv preprint arXiv:2502.14133, 2025 | | 2025 |
| DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution X Wu, H Wan, Q Tan, W Yao, N Liu ACM Transactions on Intelligent Systems and Technology 15 (5), 1-21, 2024 | | 2024 |
| CORTEX: Concept-Oriented Token Explanation in Vector-Quantized Generative Model T Yang, Y Shi, M Du, X Wu, Q Tan, J Sun, N Liu | | |
Ninghao LiuAssistant Professor, University of GeorgiaVerified email at uga.edu