Improving Simultaneous Machine Translation with Monolingual Data. - Hexuan Deng; Liang Ding 006; Xuebo Liu 002; Meishan Zhang; Dacheng Tao; Min Zhang 005 (AAAI, 2023)

Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm. - Hexuan Deng; Xin Zhang 097; Meishan Zhang; Xuebo Liu 002; Min Zhang 005 (CoRR, 2023)

Curriculum Consistency Learning for Conditional Sentence Generation. - Liangxin Liu; Xuebo Liu 002; Lian Lian; Shengjun Cheng; Jun Rao; Tengfei Yu; Hexuan Deng; Min Zhang 005 (EMNLP, 2024)

NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates. - Hexuan Deng; Wenxiang Jiao; Xuebo Liu 002; Min Zhang 005; Zhaopeng Tu (NeurIPS, 2024)

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization. - Hexuan Deng; Wenxiang Jiao; Xuebo Liu 002; Min Zhang 005; Zhaopeng Tu (CoRR, 2024)

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization. - Hexuan Deng; Wenxiang Jiao; Xuebo Liu 002; Jing Li; Min Zhang 005; Zhaopeng Tu (ACL (1), 2025)

Dynamic Sampling that Adapts: Iterative DPO for Self-Aware Mathematical Reasoning. - Jun Rao; Xuebo Liu 002; Hexuan Deng; Zepeng Lin; Zixiong Yu; Jiansheng Wei; Xiaojun Meng; Min Zhang 005 (CoRR, 2025)

REA-RL: Reflection-Aware Online Reinforcement Learning for Efficient Large Reasoning Models. - Hexuan Deng; Wenxiang Jiao; Xuebo Liu 002; Jun Rao; Min Zhang 005 (CoRR, 2025)

AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs. - Xiaopeng Ke; Hexuan Deng; Xuebo Liu 002; Jun Rao; Zhenxi Song; Jun Yu; Min Zhang 005 (CoRR, 2025)