2025 ICLR 2025 Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, and Kaixiang Lin ICLR, 2025 Oral Presentation, 1.8% acceptance rate arXiv Code Website AISTATS 2025 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 AISTATS, 2025 arXiv Code 2024 Preprint MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Hritik Bansal, Daniel Israel*, Siyan Zhao*, Shufan Li, Tung Nguyen, and Aditya Grover preprint, 2024 arXiv Code NeurIPS 2024 Probing the Decision Boundaries of In-context Learning in Large Language Models Siyan Zhao, Tung Nguyen, and Aditya Grover NeurIPS, 2024 Best Paper Runner-Up at the NeurIPS 2024 MINT Workshop arXiv Code ICLR 2024 Group Preference Optimization: Few-Shot Alignment of Large Language Models Siyan Zhao, John Dang, and Aditya Grover ICLR, 2024 arXiv Code Website 2023 NeurIPS 2023 Decision Stacks: Flexible Reinforcment Learning Via Modular Generative Models Siyan Zhao, and Aditya Grover NeurIPS, 2023 arXiv Code Website 2022 ICRA 2022 Object Insertion Based Data Augmentation for Semantic Segmentation Yuan Ren, Siyan Zhao, and Bingbing Liu ICRA, 2022 PDF 2020 Preprint One Demonstration Imitation Learning Bradly C. Stadie*, Siyan Zhao*, Qiqi Xu, Bonnie Li, and Lunjun Zhang preprint, 2020 PDF