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2020 – today
- 2024
[c15]Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren:
Tailoring Self-Rationalizers with Multi-Reward Distillation. ICLR 2024- [c14]Lu Sun
, Aaron Chan, Yun Seo Chang, Steven P. Dow:
ReviewFlow: Intelligent Scaffolding to Support Academic Peer Reviewing. IUI 2024: 120-137 - [c13]Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz:
RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. NAACL-HLT 2024: 5784-5809 - [i17]Lu Sun, Aaron Chan, Yun Seo Chang, Steven P. Dow:
ReviewFlow: Intelligent Scaffolding to Support Academic Peer Reviewing. CoRR abs/2402.03530 (2024) - [i16]Anisha Agarwal, Aaron Chan, Shubham Chandel, Jinu Jang, Shaun Miller, Roshanak Zilouchian Moghaddam, Yevhen Mohylevskyy, Neel Sundaresan, Michele Tufano:
Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming. CoRR abs/2402.14261 (2024) - 2023
- [c12]Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren:
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models. ACL (demo) 2023: 264-273 - [c11]Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren:
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales. ACL (1) 2023: 7103-7128 - [c10]Peifeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren:
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales. ICLR 2023 - [i15]Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren:
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-Text Rationales. CoRR abs/2305.07095 (2023) - [i14]Aaron Chan, Anant Kharkar, Roshanak Zilouchian Moghaddam, Yevhen Mohylevskyy, Alec Helyar, Eslam Kamal, Mohamed Elkamhawy, Neel Sundaresan:
Transformer-based Vulnerability Detection in Code at EditTime: Zero-shot, Few-shot, or Fine-tuning? CoRR abs/2306.01754 (2023) - [i13]Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz:
Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. CoRR abs/2310.04743 (2023) - [i12]Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren:
Tailoring Self-Rationalizers with Multi-Reward Distillation. CoRR abs/2311.02805 (2023) - 2022
- [c9]Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren:
ER-Test: Evaluating Explanation Regularization Methods for Language Models. EMNLP (Findings) 2022: 3315-3336 - [c8]Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz:
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction. ICML 2022: 2867-2889 - [i11]Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren:
ER-TEST: Evaluating Explanation Regularization Methods for NLP Models. CoRR abs/2205.12542 (2022) - [i10]Aaron Chan, Shaoliang Nie, Liang Tan, Xiaochang Peng, Hamed Firooz, Maziar Sanjabi, Xiang Ren:
FRAME: Evaluating Simulatability Metrics for Free-Text Rationales. CoRR abs/2207.00779 (2022) - [i9]Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren:
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models. CoRR abs/2210.16978 (2022) - [i8]Peifeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren:
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales. CoRR abs/2211.01562 (2022) - [i7]Aaron Chan, Zhiyuan Zeng, Wyatt Lake, Brihi Joshi, Hanjie Chen, Xiang Ren:
KNIFE: Knowledge Distillation with Free-Text Rationales. CoRR abs/2212.09721 (2022) - 2021
- [c7]Jun Yan, Mrigank Raman, Aaron Chan, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren:
Learning Contextualized Knowledge Structures for Commonsense Reasoning. ACL/IJCNLP (Findings) 2021: 4038-4051 - [c6]Taylor Archibald, Mason Poggemann, Aaron Chan, Tony Martinez:
TRACE: A Differentiable Approach to Line-Level Stroke Recovery for Offline Handwritten Text. ICDAR (3) 2021: 414-429 - [c5]Mrigank Raman, Aaron Chan, Siddhant Agarwal, Peifeng Wang, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren:
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. ICLR 2021 - [c4]Aaron Chan, Jiashu Xu, Boyuan Long, Soumya Sanyal, Tanishq Gupta, Xiang Ren:
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning. NeurIPS 2021: 18241-18255 - [i6]Aaron Chan, Soumya Sanyal, Boyuan Long, Jiashu Xu, Tanishq Gupta, Xiang Ren:
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning. CoRR abs/2104.08793 (2021) - [i5]Taylor Archibald, Mason Poggemann, Aaron Chan, Tony Martinez:
TRACE: A Differentiable Approach to Line-level Stroke Recovery for Offline Handwritten Text. CoRR abs/2105.11559 (2021) - [i4]Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz:
UniREx: A Unified Learning Framework for Language Model Rationale Extraction. CoRR abs/2112.08802 (2021) - 2020
- [i3]Mrigank Raman, Siddhant Agarwal, Peifeng Wang, Aaron Chan, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren:
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. CoRR abs/2010.12872 (2020)
2010 – 2019
- 2018
- [c3]Gedas Bertasius, Aaron Chan, Jianbo Shi:
Egocentric Basketball Motion Planning From a Single First-Person Image. CVPR 2018: 5889-5898 - [i2]Gedas Bertasius, Aaron Chan, Jianbo Shi:
Egocentric Basketball Motion Planning from a Single First-Person Image. CoRR abs/1803.01413 (2018) - 2017
- [c2]Georgios Pavlakos, Xiaowei Zhou, Aaron Chan, Konstantinos G. Derpanis, Kostas Daniilidis:
6-DoF object pose from semantic keypoints. ICRA 2017: 2011-2018 - [i1]Georgios Pavlakos, Xiaowei Zhou, Aaron Chan, Konstantinos G. Derpanis, Kostas Daniilidis:
6-DoF Object Pose from Semantic Keypoints. CoRR abs/1703.04670 (2017) - 2016
- [c1]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:
Scalable Vision System for Mouse Homecage Ethology. ACIVS 2016: 626-637
Coauthor Index
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