Sem Park

According to our database, Sem Park authored at least 14 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

HorizonBench: Long-Horizon Personalization with Evolving Preferences.

Shuyue Stella Li, Bhargavi Paranjape, Kerem Oktar, Zhongyao Ma, Gelin Zhou, Lin Guan, Na Zhang, Sem Park, Lin Chen, Diyi Yang, Yulia Tsvetkov, Asli Celikyilmaz

CoRR, April, 2026

Feed m Birds with One Scone: Accelerating Multi-task Gradient Balancing via Bi-level Optimization.

Xuxing Chen, Yun He, Jiayi Xu, Minhui Huang, Xiaoyi Liu, Boyang Liu, Fei Tian, Xiaohan Wei, Rong Jin, Sem Park, Bo Long, Xue Feng

CoRR, March, 2026

CharacterFlywheel: Scaling Iterative Improvement of Engaging and Steerable LLMs in Production.

Yixin Nie, Lin Guan, Zhongyao Ma, Anchit Gupta, Yipin Zhou, Xiao Li, Zhengping Zhou, Raymond Zeng, Gelin Zhou, Shigan Chu, Ajay Thampi, Wancen Mu, Nathan Shuster, Ketong Wang, Lin Chen, Jason Brewer, Derek Hao Hu, Alexander McCauley, Jason Weston, Sem Park, Na Zhang, Kevin Tang

CoRR, March, 2026

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, February, 2025

Preference Discerning with LLM-Enhanced Generative Retrieval.

Fabian Paischer, Liu Yang, Linfeng Liu, Shuai Shao, Kaveh Hassani, Jiacheng Li, Ricky T. Q. Chen, Zhang Gabriel Li, Xiaoli Gao, Wei Shao, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Hamid Eghbalzadeh

Trans. Mach. Learn. Res., 2025

Unifying Generative and Dense Retrieval for Sequential Recommendation.

Liu Yang, Fabian Paischer, Kaveh Hassani, Jiacheng Li, Shuai Shao, Zhang Gabriel Li, Yun He, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Robert D. Nowak, Xiaoli Gao, Hamid Eghbalzadeh

Trans. Mach. Learn. Res., 2025

APOLLO: SGD-like Memory, AdamW-level Performance.

Hanqing Zhu, Zhenyu Zhang, Wenyan Cong, Xi Liu, Sem Park, Vikas Chandra, Bo Long, David Z. Pan, Zhangyang Wang, Jinwon Lee

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

Billion-Scale Graph Deep Learning Framework for Ads Recommendation.

Si Zhang, Weilin Cong, Dongqi Fu, Andrey Malevich, Hao Wu, Baichuan Yuan, Xin Zhou, Kaveh Hassani, Zhigang Hua, Austin Derrow-Pinion, Yan Xie, Xuewei Wang, Yinglong Xia, Ning Yao, Vena Li, Sem Park, Bo Long

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Preference Discerning with LLM-Enhanced Generative Retrieval.

Fabian Paischer, Liu Yang, Linfeng Liu, Shuai Shao, Kaveh Hassani, Jiacheng Li, Ricky Chen, Zhang Gabriel Li, Xialo Gao, Wei Shao, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Hamid Eghbalzadeh

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, Yiqun Liu, Xiaoyi Liu, Rong Jin, Sem Park, Bo Long, Xue Feng

CoRR, 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, Sem Park, Ning Yao, Bo Long

CoRR, 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, Angli Liu, Ji Zhu, Sem Park, Ning Yao, Bo Long

Proceedings of the 18th ACM Conference on Recommender Systems, 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

Proceedings of the IEEE International Conference on Knowledge Graph, 2024

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, Jiaxiang Fu, Liang Dai, Shuo Gu, Nima Noorshams, Sem Park, Bo Long, Xue Feng

Proceedings of the IEEE International Conference on Knowledge Graph, 2024