Aaron Chan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
11
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | DATE | Machine Learning-Driven Early Performance Prediction Framework for Accelerated Microarchitecture Simulation. | Aiden Stickney, Osvaldo Castro, Aaron Chan, Paul V. Gratz, Jiang Hu, Aakash Tyagi, Jered Dominguez-Trujillo, Galen M. Shipman, Kevin Sheridan |
| 2024 | ICLR | Tailoring Self-Rationalizers with Multi-Reward Distillation. | Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren |
| 2024 | IUI | ReviewFlow: Intelligent Scaffolding to Support Academic Peer Reviewing. | Lu Sun, Aaron Chan, Yun Seo Chang, Steven P. Dow |
| 2024 | NAACL | RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. | Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz |
| 2023 | ACL | Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales. | Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren |
| 2023 | ACL | XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models. | Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren |
| 2023 | ICLR | PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales. | Peifeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren |
| 2022 | EMNLP | ER-Test: Evaluating Explanation Regularization Methods for Language Models. | Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren |
| 2022 | ICML | UNIREX: A Unified Learning Framework for Language Model Rationale Extraction. | Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz |
| 2021 | ACL | Learning Contextualized Knowledge Structures for Commonsense Reasoning. | Jun Yan, Mrigank Raman, Aaron Chan, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren |
| 2021 | ICDAR | TRACE: A Differentiable Approach to Line-Level Stroke Recovery for Offline Handwritten Text. | Taylor Archibald, Mason Poggemann, Aaron Chan, Tony Martinez |
| 2021 | ICLR | Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. | Mrigank Raman, Aaron Chan, Siddhant Agarwal, Peifeng Wang, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren |
| 2018 | CVPR | Egocentric Basketball Motion Planning From a Single First-Person Image. | Gedas Bertasius, Aaron Chan, Jianbo Shi |
| 2017 | ICRA | 6-DoF object pose from semantic keypoints. | Georgios Pavlakos, Xiaowei Zhou, Aaron Chan, Konstantinos G. Derpanis, Kostas Daniilidis |
| 2016 | ACIVS | Scalable Vision System for Mouse Homecage Ethology. | Ghadi Salem, Jonathan Krynitsky, Brett Kirkland, Eugene Lin, Aaron Chan, Simeon Anfinrud, Sarah Anderson, Marcial Garmendia-Cedillos, Rhamy Belayachi, Juan Alonso-Cruz, Joshua Yu, Anthony Iano-Fletcher, George Dold, Tom Talbot, Alexxai V. Kravitz, James B. Mitchell, Guanhang Wu, John U. Dennis, Monson Hayes, Kristin Branson, Thomas Pohida |