Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining. - Josh Gardner 001; Yuming Yang 001; Ryan S. Baker 001; Christopher Brooks 001 (CoRR, 2018)

Modeling and Experimental Design for MOOC Dropout Prediction: A Replication Perspective. - Josh Gardner 001; Yuming Yang 001; Ryan S. Baker 001; Christopher Brooks 001 (EDM, 2019)

SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance. - Caishuang Huang; Wanxu Zhao; Rui Zheng; Huijie Lv; Shihan Dou; Sixian Li; Xiao Wang 042; Enyu Zhou; Junjie Ye 005; Yuming Yang 001; Tao Gui; Qi Zhang 001; et al. (CoRR, 2024)

Empirical Insights on Fine-Tuning Large Language Models for Question-Answering. - Junjie Ye 005; Yuming Yang 001; Qi Zhang 001; Tao Gui; Xuanjing Huang 001; Peng Wang 095; Zhongchao Shi; Jianping Fan 007 (CoRR, 2024)

Multi-Programming Language Sandbox for LLMs. - Shihan Dou; Jiazheng Zhang; Jianxiang Zang; Yunbo Tao; Haoxiang Jia; Shichun Liu; Yuming Yang 001; Shenxi Wu; Shaoqing Zhang; Muling Wu; Changze Lv; Limao Xiong; et al. (CoRR, 2024)

TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use. - Junjie Ye 005; Yilong Wu; Sixian Li; Yuming Yang 001; Tao Gui; Qi Zhang 001; Xuanjing Huang 001; Peng Wang 095; Zhongchao Shi; Jianping Fan 007; Zhengyin Du (CoRR, 2024)

Multi-Programming Language Sandbox for LLMs. - Shihan Dou; Jiazheng Zhang; Jianxiang Zang; Yunbo Tao; Weikang Zhou; Haoxiang Jia; Shichun Liu; Yuming Yang 001; Shenxi Wu; Zhiheng Xi; Muling Wu; Rui Zheng; et al. (ACL (3), 2025)

Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric. - Yuming Yang 001; Yang Nan; Junjie Ye 005; Shihan Dou; Xiao Wang 042; Shuo Li; Huijie Lv; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (ACL (1), 2025)

Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition. - Yuming Yang 001; Wantong Zhao; Caishuang Huang; Junjie Ye 005; Xiao Wang 042; Huiyuan Zheng; Yang Nan; Yuran Wang; Xueying Xu; Kaixin Huang; Yunke Zhang; Tao Gui; et al. (COLING, 2025)

Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations. - Shuo Li; Jiajun Sun; Guodong Zheng; Xiaoran Fan; Yujiong Shen; Yi Lu; Zhiheng Xi; Yuming Yang 001; Wenming Tan; Tao Ji; Tao Gui; Qi Zhang 001; et al. (EMNLP (Findings), 2025)

TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use. - Junjie Ye 005; Yilong Wu; Sixian Li; Yuming Yang 001; Zhiheng Xi; Tao Gui; Qi Zhang 001; Xuanjing Huang 001; Peng Wang 095; Zhongchao Shi; Jianping Fan 007; Zhengyin Du (EMNLP (Findings), 2025)

Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels. - Junjie Ye 005; Yuming Yang 001; Yang Nan; Shuo Li; Qi Zhang 001; Tao Gui; Xuanjing Huang 001; Peng Wang 095; Zhongchao Shi; Jianping Fan 007 (EMNLP, 2025)

Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs. - Shuo Li; Tao Ji; Xiaoran Fan; Linsheng Lu; Leyi Yang; Yuming Yang 001; Zhiheng Xi; Rui Zheng; Yuran Wang; Xiaohui Zhao; Tao Gui; Qi Zhang 001; et al. (ICLR, 2025)

Pre-Trained Policy Discriminators are General Reward Models. - Shihan Dou; Shichun Liu; Yuming Yang 001; Yicheng Zou; Yunhua Zhou; Shuhao Xing; Chenhao Huang; Qiming Ge; Haijun Lv; Demin Song; Songyang Gao; Chengqi Lyu; et al. (NeurIPS, 2025)

Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric. - Yuming Yang 001; Yang Nan; Junjie Ye 005; Shihan Dou; Xiao Wang 042; Shuo Li; Huijie Lv; Mingqi Wu; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)

Machine-assisted writing evaluation: Exploring pre-trained language models in analyzing argumentative moves. - Wenjuan Qin; Weiran Wang 003; Yuming Yang 001; Tao Gui (CoRR, 2025)

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation. - Yi Lu; Wanxu Zhao; Xin Zhou 012; Chenxin An; Chenglong Wang; Shuo Li; Yuming Yang 001; Jun Zhao 019; Tao Ji; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)

Pre-Trained Policy Discriminators are General Reward Models. - Shihan Dou; Shichun Liu; Yuming Yang 001; Yicheng Zou; Yunhua Zhou; Shuhao Xing; Chenhao Huang; Qiming Ge; Demin Song; Haijun Lv; Songyang Gao; Chengqi Lv; et al. (CoRR, 2025)

The Role of Entropy in Visual Grounding: Analysis and Optimization. - Shuo Li; Jiajun Sun; Zhihao Zhang 002; Xiaoran Fan; Senjie Jin; Hui Li; Yuming Yang 001; Junjie Ye 005; Lixing Shen; Tao Ji; Tao Gui; Qi Zhang 001; et al. (CoRR, 2025)

AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments. - Zhiheng Xi; Dingwen Yang; Jiaqi Liu; Jixuan Huang; Honglin Guo; Baodai Huang; Tinggang Chen; Qi Zhang; Zhonghang Lu; Chenyu Liu; Jiajun Sun; Jiazheng Zhang; et al. (ACL (1), 2026)

Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment. - Yuming Yang 001; Mingyoung Lai; Wanxu Zhao; Xiaoran Fan; Zhiheng Xi; Mingqi Wu; Chiyue Huang; Jun Zhao 019; Haijun Lv; Jian Tong; Yunhua Zhou; Yicheng Zou; et al. (ACL (1), 2026)