2024 NeurIPS 2024 Probing the Decision Boundaries of In-context Learning in Large Language Models Siyan Zhao, Tung Nguyen, and Aditya Grover In Advances in Neural Information Processing Systems (NeurIPS); Selected as Spotlight at the NGSM Workshop @ ICML, 2024 arXiv Code Preprint Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models Siyan Zhao*, Daniel Israel*, Guy Van den Broeck, and Aditya Grover ICML Workshop on Efficient Systems for Foundation Models II, 2024 arXiv Code ICLR 2024 Group Preference Optimization: Few-Shot Alignment of Large Language Models Siyan Zhao, John Dang, and Aditya Grover International Conference on Learning Representations (ICLR), 2024 arXiv Code Website 2023 NeurIPS 2023 Decision Stacks: Flexible Reinforcment Learning Via Modular Generative Models Siyan Zhao, and Aditya Grover In Advances in Neural Information Processing Systems (NeurIPS), 2023 arXiv Code Website 2022 ICRA 2022 Object Insertion Based Data Augmentation for Semantic Segmentation Yuan Ren, Siyan Zhao, and Bingbing Liu IEEE International Conference on Robotics and Automation (ICRA), 2022 PDF 2020 Preprint One Demonstration Imitation Learning Bradly C. Stadie*, Siyan Zhao*, Qiqi Xu, Bonnie Li, and Lunjun Zhang preprint, 2020 PDF