Prompt Curriculum Learning for Efficient LLM Post-Training Gao, Zhaolin, Kim, Joongwon, Sun, Wen, Joachims, Thorsten, Wang, Sid, Pang, Richard Yuanzhe, and Tan, Liang Preprint PDF Pre-trained Large Language Models Learn Hidden Markov Models In-context Dai, Yijia, Gao, Zhaolin, Sattar, Yahya, Dean, Sarah, and Sun, Jennifer J. NeurIPS 2025 PDF Code Accelerating RL for LLM Reasoning with Optimal Advantage Regression Brantley, Kianté, Chen, Mingyu, Gao, Zhaolin, Lee, Jason D., Sun, Wen, Zhan, Wenhao, and Zhang, Xuezhou (alphabetical order) NeurIPS 2025 PDF Model Code Value-Guided Search for Efficient Chain-of-Thought Reasoning Wang, Kaiwen, Zhou, Jin Peng, Chang, Jonathan D., Gao, Zhaolin, Kallus, Nathan, Brantley, Kianté, and Sun, Wen NeurIPS 2025 PDF Model Code dataset Q#: Provably Optimal Distributional RL for LLM Post-Training Zhou, Jin Peng*, Wang, Kaiwen*, Chang, Jonathan D., Gao, Zhaolin, Kallus, Nathan, Weinberger, Kilian Q., Brantley, Kianté, and Sun, Wen NeurIPS 2025 PDF Code Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF Gao, Zhaolin, Zhan, Wenhao, Chang, Jonathan D., Swamy, Gokul, Brantley, Kianté, Lee, Jason D., and Sun, Wen ICLR 2025 PDF Model Code End-to-end Training for Recommendation with Language-based User Profiles Gao, Zhaolin, Zhou, Joyce, Dai, Yijia, and Joachims, Thorsten CIKM 2025 PDF Code REBEL: Reinforcement Learning via Regressing Relative Rewards Gao, Zhaolin, Chang, Jonathan D., Zhan, Wenhao, Oertell, Owen, Swamy, Gokul, Brantley, Kianté, Joachims, Thorsten, Bagnell, J. Andrew, Lee, Jason D., and Sun, Wen NeurIPS 2024 PDF Model Code Reviewer2: Optimizing Review Generation Through Prompt Generation Gao, Zhaolin, Brantley, Kianté, and Joachims, Thorsten Preprint PDF Model Code dataset Session-based Recommendation With Transformers Lu, Yichao, Gao, Zhaolin*, Cheng, Zhaoyue*, Sun, Jianing*, Brown, Bradley, Yu, Guangwei, Wong, Anson, Perez, Felipe, and Volkovs, Maksims RecSys Challenge 2022 PDF Mitigating the Filter Bubble while Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems Gao, Zhaolin, Shen, Tianshu, Mai, Zheda, Bouadjenek, Mohamed Reda, Waller, Isaac, Anderson, Ashton, Bodkin, Ron, and Sanner, Scott SIGIR 2022 PDF Code MCL: Mixed-Centric Loss for Collaborative Filtering Gao, Zhaolin*, Cheng, Zhaoyue*, Perez, Felipe, Sun, Jianing, and Volkovs, Maksims WWW 2022 PDF Code Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data Lin, Wanyu, Gao, Zhaolin, and Li, Baochun CVPR 2020 PDF Code Guardian: Evaluating Trust in Online Social Networks with Graph Convolutional Networks Lin, Wanyu, Gao, Zhaolin, and Li, Baochun INFOCOM 2020 PDF Code