Chan, Aaron

8 publications

ICLR 2024 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

ICLRW 2024 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

ICLRW 2023 KNIFE: Distilling Meta-Reasoning Knowledge with Free-Text Rationales Aaron Chan, Zhiyuan Zeng, Wyatt Lake, Brihi Joshi, Hanjie Chen, Xiang Ren

ICLR 2023 PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales PeiFeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren

NeurIPSW 2022 PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales PeiFeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren

ICML 2022 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

ICLR 2021 Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation Mrigank Raman, Aaron Chan, Siddhant Agarwal, PeiFeng Wang, Hansen Wang, Sungchul Kim, Ryan Rossi, Handong Zhao, Nedim Lipka, Xiang Ren

NeurIPS 2021 SalKG: Learning from Knowledge Graph Explanations for Commonsense Reasoning Aaron Chan, Jiashu Xu, Boyuan Long, Soumya Sanyal, Tanishq Gupta, Xiang Ren