| 2026 | AAAI | Scaling Towards the Information Boundary of Instructions through Data Synthesizing. | Li Du, Hanyu Zhao, Yiming Ju, Tengfei Pan |
| 2025 | AAAI | Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency. | Hanyu Zhao, Li Du, Yiming Ju, Chengwei Wu, Tengfei Pan |
| 2025 | ACL | Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement. | Xiaowei Yuan, Zhao Yang, Ziyang Huang, Yequan Wang, Siqi Fan, Yiming Ju, Jun Zhao, Kang Liu |
| 2024 | EMNLP | Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging. | Yiming Ju, Ziyi Ni, Xingrun Xing, Zhixiong Zeng, Hanyu Zhao, Siqi Fan, Zheng Zhang |
| 2024 | ICML | SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms. | Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju, Siqi Fan, Yequan Wang, Jiajun Zhang, Guoqi Li |
| 2024 | PRICAI | KLoB: a Benchmark for Assessing Knowledge Localization Methods in Language Models. | Yiming Ju, Huimin Ma, Xingrun Xing, Zhixiong Zeng |
| 2023 | ACL | A Hierarchical Explanation Generation Method Based on Feature Interaction Detection. | Yiming Ju, Yuanzhe Zhang, Kang Liu, Jun Zhao |
| 2022 | ACL | Logic Traps in Evaluating Attribution Scores. | Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao |
| 2022 | COLING | CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers. | Yiming Ju, Weikang Wang, Yuanzhe Zhang, Suncong Zheng, Kang Liu, Jun Zhao |
| 2021 | EMNLP | Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations. | Yiming Ju, Yuanzhe Zhang, Zhixing Tian, Kang Liu, Xiaohuan Cao, Wenting Zhao, Jinlong Li, Jun Zhao |