Knowing-how & Knowing-that: A New Task for Machine Comprehension of User Manuals. - Hongru Liang; Jia Liu; Weihong Du; Dingnan Jin; Wenqiang Lei; Zujie Wen; Jiancheng Lv 001 (ACL (Findings), 2023)

TRAVEL: Tag-Aware Conversational FAQ Retrieval via Reinforcement Learning. - Yue Chen; Dingnan Jin; Chen Huang 006; Jia Liu; Wenqiang Lei (EMNLP, 2023)

Knowing-how & Knowing-that: A New Task for Machine Reading Comprehension of User Manuals. - Hongru Liang; Jia Liu; Weihong Du; Dingnan Jin; Wenqiang Lei; Zujie Wen; Jiancheng Lv 001 (CoRR, 2023)

STYLE: Improving Domain Transferability of Asking Clarification Questions in Large Language Model Powered Conversational Agents. - Yue Chen; Chen Huang 006; Yang Deng 002; Wenqiang Lei; Dingnan Jin; Jia Liu; Tat-Seng Chua (ACL (Findings), 2024)

CARE: A Clue-guided Assistant for CSRs to Read User Manuals. - Weihong Du; Jia Liu; Zujie Wen; Dingnan Jin; Hongru Liang; Wenqiang Lei (ACL (1), 2024)

CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models. - Tong Zhang; Peixin Qin; Yang Deng 002; Chen Huang 006; Wenqiang Lei; Junhong Liu; Dingnan Jin; Hongru Liang; Tat-Seng Chua (ACL (1), 2024)

Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging. - Jinluan Yang; Dingnan Jin; Anke Tang; Li Shen 008; Didi Zhu; Zhengyu Chen 001; Daixin Wang; Qing Cui; Zhiqiang Zhang 012; Jun Zhou 011; Fei Wu 001; Kun Kuang (CoRR, 2025)

Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs. - Ling Team; Binwei Zeng; Chao Huang; Chao Zhang; Changxin Tian; Cong Chen; Dingnan Jin; Feng Yu; Feng Zhu; Feng Yuan; Fakang Wang; Gangshan Wang; et al. (CoRR, 2025)

SHARP: Synthesizing High-quality Aligned Reasoning Problems for Large Reasoning Models Reinforcement Learning. - Xiong Jun Wu; Zhenduo Zhang; Zujie Wen; Zhiqiang Zhang 012; Wang Ren; Lei Shi; Cai Chen; Deng Zhao; Qing Wang; Xudong Han; Chengfu Tang; Dingnan Jin; et al. (CoRR, 2025)

Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs. - Ling Team; Bin Hu; Cai Chen; Deng Zhao; Ding Liu; Dingnan Jin; Feng Zhu; Hao Dai; Hongzhi Luan; Jia Guo; Jiaming Liu; Jiewei Wu; et al. (CoRR, 2025)