Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales


Nov 03, 2022
Peifeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren

* 18 pages, 6 figures, preprint 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models


Oct 30, 2022
Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren

* 6 pages, 7 figures. Project page: https://inklab.usc.edu/xmd/ 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

FRAME: Evaluating Simulatability Metrics for Free-Text Rationales


Jul 02, 2022
Aaron Chan, Shaoliang Nie, Liang Tan, Xiaochang Peng, Hamed Firooz, Maziar Sanjabi, Xiang Ren

* 16 pages, 18 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

ER-TEST: Evaluating Explanation Regularization Methods for NLP Models


May 25, 2022
Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren

* 19 pages, 10 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

UniREx: A Unified Learning Framework for Language Model Rationale Extraction


Dec 16, 2021
Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz

* 14 pages, 6 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

TRACE: A Differentiable Approach to Line-level Stroke Recovery for Offline Handwritten Text


May 24, 2021
Taylor Archibald, Mason Poggemann, Aaron Chan, Tony Martinez

* Accepted as a conference paper at the 16th International Conference on Document Analysis and Recognition (ICDAR), Lausanne, Switzerland, 2021 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning


Apr 18, 2021
Aaron Chan, Soumya Sanyal, Boyuan Long, Jiashu Xu, Tanishq Gupta, Xiang Ren

* 12 pages, 8 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation


Oct 24, 2020
Mrigank Raman, Siddhant Agarwal, Peifeng Wang, Aaron Chan, Hansen Wang, Sungchul Kim, Ryan Rossi, Handong Zhao, Nedim Lipka, Xiang Ren

* 13 pages, 9 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Egocentric Basketball Motion Planning from a Single First-Person Image


Mar 04, 2018
Gedas Bertasius, Aaron Chan, Jianbo Shi

* CVPR 2018 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

6-DoF Object Pose from Semantic Keypoints


Mar 14, 2017
Georgios Pavlakos, Xiaowei Zhou, Aaron Chan, Konstantinos G. Derpanis, Kostas Daniilidis

* IEEE International Conference on Robotics and Automation (ICRA), 2017 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email