Understanding and Patching Compositional Reasoning in LLMs Z Li, G Jiang, H Xie, L Song, D Lian, Y Wei ACL 2024 Findings, 2024 | 17 | 2024 |
Learning to Substitute Spans towards Improving Compositional Generalization Z Li, Y Wei, D Lian ACL 2023, 2023 | 7 | 2023 |
Interpretable Catastrophic Forgetting of Large Language Model Fine-tuning via Instruction Vector G Jiang, C Jiang, Z Li, S Xue, J Zhou, L Song, D Lian, Y Wei arXiv preprint 2024, 2024 | 4 | 2024 |
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation T Zhong*, Z Li*, Q Wang, L Song, Y Wei, D Lian, Z Mao ACL 2024, co-first authorship, 2024 | 3 | 2024 |
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing W Wang*, Z Li*, D Lian, C Ma, L Song, Y Wei EMNLP 2024, co-first authorship, 2024 | 1 | 2024 |
Invariant Representation Learning via Decoupling Style and Spurious Features R Li, Y Pu, Z Li, C Wu, H Xie, D Lian Machine Learning Journal 2024, 2023 | 1 | 2023 |
General Time-series Model for Universal Knowledge Representation of Multivariate Time-Series data C He, X Huang, G Jiang, Z Li, D Lian, H Xie, E Chen, X Liang, Z Zheng arXiv preprint 2025, 2025 | | 2025 |