On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. - Zhenqing Ling; Daoyuan Chen; Liuyi Yao; Yaliang Li; Ying Shen 001 (KDD, 2024)

Enhancing Factual Consistency in Text Summarization via Counterfactual Debiasing. - Zhenqing Ling; Yuexiang Xie; Chenhe Dong; Ying Shen 001 (COLING, 2025)

Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data. - Zhenqing Ling; Daoyuan Chen; Liuyi Yao; Yaliang Li; Ying Shen 001 (CoRR, 2025)

MindGYM: Enhancing Vision-Language Models via Synthetic Self-Challenging Questions. - Zhe Xu; Daoyuan Chen; Zhenqing Ling; Yaliang Li; Ying Shen 001 (CoRR, 2025)

Attention Basin: Why Contextual Position Matters in Large Language Models. - Zihao Yi; Delong Zeng; Zhenqing Ling; Haohao Luo; Zhe Xu 009; Wei Liu 005; Jian Luan 001; Wanxia Cao; Ying Shen 001 (CoRR, 2025)