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

Add to Chrome

Add to Firefox

Picture for Honglei Zhuang

Honglei Zhuang

ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference

Apr 25, 2022
Kai Hui, Honglei Zhuang, Tao Chen, Zhen Qin, Jing Lu, Dara Bahri, Ji Ma, Jai Prakash Gupta, Cicero Nogueira dos Santos, Yi Tay, Don Metzler

Figure 1 for ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference

Figure 2 for ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference

Figure 3 for ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference

Figure 4 for ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference

* Findings of ACL 2022

Access Paper or Ask Questions

Distilling Interpretable Models into Human-Readable Code

Feb 09, 2021
Walker Ravina, Ethan Sterling, Olexiy Oryeshko, Nathan Bell, Honglei Zhuang, Xuanhui Wang, Yonghui Wu, Alexander Grushetsky

Figure 1 for Distilling Interpretable Models into Human-Readable Code

Figure 2 for Distilling Interpretable Models into Human-Readable Code

Figure 3 for Distilling Interpretable Models into Human-Readable Code

Figure 4 for Distilling Interpretable Models into Human-Readable Code

* 13 pages, Latex; Updated the introduction and preliminaries sections; Updated some figures for greater clarity and brevity; Added a new dataset to the experiments; Added a more detailed table of experiment results; Added a discussion of distillation failures to the experiments relating to the new dataset

Access Paper or Ask Questions