Semantic Label Smoothing for Sequence to Sequence Problems

Semantic Label Smoothing for Sequence to Sequence Problems

15 October 2020

Srinadh Bhojanapalli

Sanjiv Kumar

Papers citing "Semantic Label Smoothing for Sequence to Sequence Problems"

5 / 5 papers shown

Title
Rethinking Label Smoothing on Multi-hop Question Answering Zhangyue Yin Yuxin Wang Xiannian Hu Yiguang Wu Hang Yan Xinyu Zhang Bo Zhao Xuanjing Huang Xipeng Qiu 26 9 0 19 Dec 2022
Calibrating Sequence likelihood Improves Conditional Language Generation Yao-Min Zhao Misha Khalman Rishabh Joshi Shashi Narayan Mohammad Saleh Peter J. Liu UQLM 31 119 0 30 Sep 2022
The Implicit Length Bias of Label Smoothing on Beam Search Decoding Bowen Liang Pidong Wang Yuan Cao 24 1 0 02 May 2022
Language Modelling via Learning to Rank A. Frydenlund Gagandeep Singh Frank Rudzicz 47 7 0 13 Oct 2021
Classical Structured Prediction Losses for Sequence to Sequence Learning Sergey Edunov Myle Ott Michael Auli David Grangier MarcÁurelio Ranzato AIMat 56 185 0 14 Nov 2017