| 2026 | ACL | From Competition to Synergy: Unlocking Reinforcement Learning for Subject-Driven Image Generation. | Ziwei Huang, Yin Shu, Hao Fang, Quanyu Long, Wenya Wang, Qiushi Guo, Tiezheng Ge, Leilei Gan |
| 2026 | ACL | REVEALER: Reinforcement-Guided Visual Reasoning for Element-Level Text-Image Alignment Evaluation. | Fulin Shi, Wenyi Xiao, Bin Chen, Liang Ding, Leilei Gan |
| 2026 | ACL | From Recognition to Reasoning: Benchmarking and Enhancing MLLMs on Real-World Receipt Document Understanding. | Yandi Wang, Libin Zhan, Ziwei Huang, Tiancheng Luo, Yuxuan Jiang, Wang Dong, Leilei Gan, Jun Chen |
| 2026 | ACL | VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models Reasoning. | Wenyi Xiao, Xinchi Xu, Leilei Gan |
| 2025 | AAAI | MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis. | Wanggui He, Siming Fu, Mushui Liu, Xierui Wang, Wenyi Xiao, Fangxun Shu, Yi Wang, Lei Zhang, Zhelun Yu, Haoyuan Li, Ziwei Huang, Leilei Gan, Hao Jiang |
| 2025 | AAAI | Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback. | Wenyi Xiao, Ziwei Huang, Leilei Gan, Wanggui He, Haoyuan Li, Zhelun Yu, Fangxun Shu, Hao Jiang, Linchao Zhu |
| 2025 | ACL | T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts. | Ziwei Huang, Wanggui He, Quanyu Long, Yandi Wang, Haoyuan Li, Zhelun Yu, Fangxun Shu, Weilong Dai, Hao Jiang, Fei Wu, Leilei Gan |
| 2025 | COLING | Fine-tuning Large Language Models for Improving Factuality in Legal Question Answering. | Yinghao Hu, Leilei Gan, Wenyi Xiao, Kun Kuang, Fei Wu |
| 2025 | EMNLP | Evaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and Beyond. | Yinghao Hu, Yaoyao Yu, Leilei Gan, Bin Wei, Kun Kuang, Fei Wu |
| 2024 | ACL | LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. | Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu |
| 2024 | NAACL | Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning. | Shuai Zhao, Leilei Gan, Anh Tuan Luu, Jie Fu, Lingjuan Lyu, Meihuizi Jia, Jinming Wen |
| 2023 | EMNLP | Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction. | Leilei Gan, Baokui Li, Kun Kuang, Yating Zhang, Lei Wang, Anh Tuan Luu, Yi Yang, Fei Wu |
| 2022 | ACL | Dependency Parsing as MRC-based Span-Span Prediction. | Leilei Gan, Yuxian Meng, Kun Kuang, Xiaofei Sun, Chun Fan, Fei Wu, Jiwei Li |
| 2022 | EMNLP | Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples. | Chengyuan Liu, Leilei Gan, Kun Kuang, Fei Wu |
| 2022 | NAACL | Triggerless Backdoor Attack for NLP Tasks with Clean Labels. | Leilei Gan, Jiwei Li, Tianwei Zhang, Xiaoya Li, Yuxian Meng, Fei Wu, Yi Yang, Shangwei Guo, Chun Fan |
| 2021 | AAAI | Judgment Prediction via Injecting Legal Knowledge into Neural Networks. | Leilei Gan, Kun Kuang, Yi Yang, Fei Wu |