Julian Katz-Samuels
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
8
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following. | Yun He, Wenzhe Li, Hejia Zhang, Songlin Li, Karishma Mandyam, Sopan Khosla, Yuanhao Xiong, Nanshu Wang, Xiaoliang Peng, Beibin Li, Shengjie Bi, Shishir G. Patil, Qi Qi, Shengyu Feng, Julian Katz-Samuels, Richard Yuanzhe Pang, Sujan Kumar Gonugondla, Hunter Lang, Yue Yu, Yundi Qian, Maryam Fazel-Zarandi, Licheng Yu, Amine Benhalloum, Hany Hassan Awadalla, Manaal Faruqui |
| 2025 | ACL | AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs. | Nicholas E. Corrado, Julian Katz-Samuels, Adithya M. Devraj, Hyokun Yun, Chao Zhang, Yi Xu, Yi Pan, Bing Yin, Trishul Chilimbi |
| 2025 | NAACL | InfoPO: On Mutual Information Maximization for Large Language Model Alignment. | Teng Xiao, Zhen Ge, Sujay Sanghavi, Tian Wang, Julian Katz-Samuels, Marc Versage, Qingjun Cui, Trishul Chilimbi |
| 2024 | EMNLP | Evolutionary Contrastive Distillation for Language Model Alignment. | Julian Katz-Samuels, Zheng Li, Hyokun Yun, Priyanka Nigam, Yi Xu, Vaclav Petricek, Bing Yin, Trishul Chilimbi |
| 2024 | ICLR | HYPO: Hyperspherical Out-Of-Distribution Generalization. | Haoyue Bai, Yifei Ming, Julian Katz-Samuels, Yixuan Li |
| 2022 | AAAI | Similarity Search for Efficient Active Learning and Search of Rare Concepts. | Cody Coleman, Edward Chou, Julian Katz-Samuels, Sean Culatana, Peter Bailis, Alexander C. Berg, Robert D. Nowak, Roshan Sumbaly, Matei Zaharia, I. Zeki Yalniz |
| 2022 | AISTATS | Near Instance Optimal Model Selection for Pure Exploration Linear Bandits. | Yinglun Zhu, Julian Katz-Samuels, Robert D. Nowak |
| 2022 | ICML | Training OOD Detectors in their Natural Habitats. | Julian Katz-Samuels, Julia B. Nakhleh, Robert D. Nowak, Yixuan Li |
| 2022 | ICML | GALAXY: Graph-based Active Learning at the Extreme. | Jifan Zhang, Julian Katz-Samuels, Robert D. Nowak |
| 2021 | AISTATS | Experimental Design for Regret Minimization in Linear Bandits. | Andrew Wagenmaker, Julian Katz-Samuels, Kevin Jamieson |
| 2021 | ICML | High-dimensional Experimental Design and Kernel Bandits. | Romain Camilleri, Kevin Jamieson, Julian Katz-Samuels |
| 2021 | ICML | Improved Algorithms for Agnostic Pool-based Active Classification. | Julian Katz-Samuels, Jifan Zhang, Lalit Jain, Kevin Jamieson |
| 2020 | AISTATS | The True Sample Complexity of Identifying Good Arms. | Julian Katz-Samuels, Kevin Jamieson |
| 2019 | AISTATS | Top Feasible Arm Identification. | Julian Katz-Samuels, Clayton Scott |
| 2018 | AISTATS | Nonparametric Preference Completion. | Julian Katz-Samuels, Clayton Scott |
| 2018 | ICML | Feasible Arm Identification. | Julian Katz-Samuels, Clayton Scott |
| 2016 | KDD | The Legislative Influence Detector: Finding Text Reuse in State Legislation. | Matthew Burgess, Eugenia Giraudy, Julian Katz-Samuels, Joe Walsh, Derek Willis, Lauren Haynes, Rayid Ghani |