Large Language Models for Manufacturing. - Yiwei Li 002; Huaqin Zhao; Hanqi Jiang; Yi Pan 001; Zhengliang Liu; Zihao Wu 001; Peng Shu; Jie Tian; Tianze Yang; Shaochen Xu; Yanjun Lyu; Parker Blenk; et al. (CoRR, 2024)

Scaling New Frontiers: Insights into Large Recommendation Models. - Wei Guo 006; Hao Wang 076; Luankang Zhang; Jin Yao Chin; Zhongzhou Liu; Kai Cheng; Qiushi Pan; Yi Quan Lee; Wanqi Xue; Tingjia Shen; Kenan Song; Kefan Wang; et al. (CoRR, 2024)

Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model. - Luankang Zhang; Kenan Song; Yi Quan Lee; Wei Guo 006; Hao Wang 076; Yawen Li 001; Huifeng Guo; Yong Liu 020; Defu Lian; Enhong Chen (SIGIR, 2025)

Large Language Models for Bioinformatics. - Wei Ruan; Yanjun Lyu; Jing Zhang 010; Jiazhang Cai; Peng Shu; Yang Ge; Yao Lu; Shang Gao; Yue Wang; Peilong Wang; Lin Zhao 004; Tao Wang; et al. (CoRR, 2025)

A Universal Framework for Compressing Embeddings in CTR Prediction. - Kefan Wang; Hao Wang 076; Kenan Song; Wei Guo 006; Kai Cheng; Zhi Li 057; Yong Liu 020; Defu Lian; Enhong Chen (CoRR, 2025)

A Multi-Agent Framework Integrating Large Language Models and Generative AI for Accelerated Metamaterial Design. - Jie Tian; Martin Taylor Sobczak; Dhanush Patil; Jixin Hou; Lin Pang; Arunachalam Ramanathan; Libin Yang; Xianyan Chen; Yuval Golan; Hongyue Sun; Kenan Song; Xianqiao Wang (CoRR, 2025)