Deep Retrieval: An End-to-End Learnable Structure Model for Large-Scale Recommendations. - Weihao Gao; Xiangjun Fan; Jiankai Sun; Kai Jia; Wenzhi Xiao; Chong Wang 002; Xiaobing Liu (CoRR, 2020)

Learning An End-to-End Structure for Retrieval in Large-Scale Recommendations. - Weihao Gao; Xiangjun Fan; Chong Wang 002; Jiankai Sun; Kai Jia; Wenzhi Xiao; Ruofan Ding; Xingyan Bin; Hui Yang; Xiaobing Liu (CIKM, 2021)

HallE-Switch: Rethinking and Controlling Object Existence Hallucinations in Large Vision Language Models for Detailed Caption. - Bohan Zhai; Shijia Yang; Xiangchen Zhao; Chenfeng Xu; Sheng Shen 001; Dongdi Zhao; Kurt Keutzer; Manling Li; Tan Yan; Xiangjun Fan (CoRR, 2023)

Quantifying Generalization Complexity for Large Language Models. - Zhenting Qi; Hongyin Luo; Xuliang Huang; Zhuokai Zhao; Yibo Jiang; Xiangjun Fan; Himabindu Lakkaraju; James R. Glass (ICLR, 2025)

Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment. - Chaoqi Wang; Zhuokai Zhao; Yibo Jiang; Zhaorun Chen; Chen Zhu; Yuxin Chen; Jiayi Liu; Lizhu Zhang; Xiangjun Fan; Hao Ma 001; Sinong Wang (CoRR, 2025)

CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning. - Hao Yu; Zhuokai Zhao; Shen Yan; Lukasz Korycki; Jianyu Wang; Baosheng He; Jiayi Liu; Lizhu Zhang; Xiangjun Fan; Hanchao Yu (CoRR, 2025)

S'MoRE: Structural Mixture of Residual Experts for LLM Fine-tuning. - Hanqing Zeng; Yinglong Xia; Zhuokai Zhao; Gilbert Jiang; Qiang Zhang; Jiayi Liu; Lizhu Zhang; Xiangjun Fan; Benyu Zhang (CoRR, 2025)

GEM: Empowering LLM for both Embedding Generation and Language Understanding. - Caojin Zhang; Qiang Zhang; Ke Li; Sai Vidyaranya Nuthalapati; Benyu Zhang; Jason Liu; Serena Li; Lizhu Zhang; Xiangjun Fan (CoRR, 2025)