A Unified Knowledge-Distillation and Semi-Supervised Learning Framework to Improve Industrial Ads Delivery Systems. - Hamid Eghbalzadeh; Yang Wang; Rui Li; Yuji Mo; Qin Ding 007; Jiaxiang Fu; Liang Dai; Shuo Gu; Nima Noorshams; Sem Park; Bo Long; Xue Feng (ICKG, 2024)

Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking. - Ilqar Ramazanli; Hamid Eghbalzadeh; Xiaoyi Liu; Yang Wang; Kaushik Rangadurai; Sem Park; Bo Long; Xue Feng (ICKG, 2024)

EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations. - Chiyu Zhang; Yifei Sun; Minghao Wu; Jun Chen; Jie Lei; Muhammad Abdul-Mageed; Rong Jin 001; Angli Liu; Ji Zhu; Sem Park; Ning Yao; Bo Long (RecSys, 2024)

SPAR: Personalized Content-Based Recommendation via Long Engagement Attention. - Chiyu Zhang; Yifei Sun; Jun Chen; Jie Lei; Muhammad Abdul-Mageed; Sinong Wang; Rong Jin 001; Sem Park; Ning Yao; Bo Long (CoRR, 2024)

MultiBalance: Multi-Objective Gradient Balancing in Industrial-Scale Multi-Task Recommendation System. - Yun He; Xuxing Chen; Jiayi Xu; Renqin Cai; Yiling You; Jennifer Cao; Minhui Huang; Liu Yang 001; Yiqun Liu; Xiaoyi Liu; Rong Jin 001; Sem Park; et al. (CoRR, 2024)

APOLLO: SGD-like Memory, AdamW-level Performance. - Hanqing Zhu; Zhenyu Zhang 015; Wenyan Cong; Xi Liu; Sem Park; Vikas Chandra; Bo Long; David Z. Pan; Zhangyang Wang; Jinwon Lee (CoRR, 2024)

Preference Discerning with LLM-Enhanced Generative Retrieval. - Fabian Paischer; Liu Yang 001; Linfeng Liu; Shuai Shao; Kaveh Hassani; Jiacheng Li; Ricky Chen; Zhang Gabriel Li; Xialo Gao; Wei Shao; Xue Feng; Nima Noorshams; et al. (CoRR, 2024)

Unifying Generative and Dense Retrieval for Sequential Recommendation. - Liu Yang 001; Fabian Paischer; Kaveh Hassani; Jiacheng Li; Shuai Shao; Zhang Gabriel Li; Yun He; Xue Feng; Nima Noorshams; Sem Park; Bo Long; Robert D. Nowak; et al. (Trans. Mach. Learn. Res., 2025)

Preference Discerning with LLM-Enhanced Generative Retrieval. - Fabian Paischer; Liu Yang 001; Linfeng Liu; Shuai Shao; Kaveh Hassani; Jiacheng Li; Ricky T. Q. Chen; Zhang Gabriel Li; Xiaoli Gao; Wei Shao; Xue Feng; Nima Noorshams; et al. (Trans. Mach. Learn. Res., 2025)

Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking. - Ilqar Ramazanli; Hamid Eghbalzadeh; Xiaoyi Liu; Yang Wang; Jiaxiang Fu; Kaushik Rangadurai; Sem Park; Bo Long; Xue Feng (CoRR, 2025)