CEAMC: Corpus and Empirical Study of Argument Analysis in Education via LLMs. - Yupei Ren; Hongyi Wu; Zhaoguang Long; Shangqing Zhao; Xinyi Zhou; Zheqin Yin; Xinlin Zhuang; Xiaopeng Bai; Man Lan (EMNLP (Findings), 2024)

A Lightweight and Effective Multi-View Knowledge Distillation Framework for Text-Image Retrieval. - Yuxiang Song; Yuxuan Zheng; Shangqing Zhao; Shu Liu; Xinlin Zhuang; Zhaoguang Long; Changzhi Sun; Aimin Zhou; Man Lan (IJCNN, 2024)

BIBench: Benchmarking Data Analysis Knowledge of Large Language Models. - Shu Liu; Shangqing Zhao; Chenghao Jia; Xinlin Zhuang; Zhaoguang Long; Man Lan (CoRR, 2024)

A Survey on Temporal Knowledge Graph: Representation Learning and Applications. - Li Cai; Xin Mao; Yuhao Zhou; Zhaoguang Long; Changxu Wu; Man Lan (CoRR, 2024)

ReactGPT: Understanding of Chemical Reactions via In-Context Tuning. - Zhe Chen; Zhe Fang; Wenhao Tian; Zhaoguang Long; Changzhi Sun; Yuefeng Chen; Hao Yuan; Honglin Li; Man Lan (AAAI, 2025)

FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models. - Shu Liu; Shangqing Zhao; Chenghao Jia; Xinlin Zhuang; Zhaoguang Long; Jie Zhou; Aimin Zhou; Man Lan; Yang Chong (COLING, 2025)

Semantic Attention and LLM-based Layout Guidance for Text-to-Image Generation. - Yuxiang Song; Zhaoguang Long; Man Lan; Changzhi Sun; Aimin Zhou; Yuefeng Chen; Hao Yuan; Fei Cao (ICASSP, 2025)

LSDC: An Efficient and Effective Large-Scale Data Compression Method for Supervised Fine-tuning of Large Language Models. - Zhaoguang Long; Yuhao Zhou; Shangqing Zhao; Yupei Ren; Li Cai; Chenghao Jia; Zhe Chen; Zhe Fang; Yuxiang Song; Man Lan (NAACL (Findings), 2025)