| 2025 | EMNLP | Large Language Model Evaluation via Matrix Nuclear-Norm. | Yahan Li, Tingyu Xia, Yuan Wu, Yi Chang |
| 2025 | EMNLP | Rethinking Data Selection at Scale: Random Selection is Almost All You Need. | Tingyu Xia, Bowen Yu, Kai Dang, An Yang, Yuan Wu, Yuan Tian, Yi Chang, Junyang Lin |
| 2025 | ICLR | Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models. | Guanting Dong, Keming Lu, Chengpeng Li, Tingyu Xia, Bowen Yu, Chang Zhou, Jingren Zhou |
| 2024 | ACL | Language Models can Evaluate Themselves via Probability Discrepancy. | Tingyu Xia, Bowen Yu, Yuan Wu, Yi Chang, Chang Zhou |
| 2022 | EMNLP | FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification. | Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang |
| 2021 | WWW | Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks. | Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang |
| 2020 | AAAI | Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks. | Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang |