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Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing
  Regressions In NLP Model Updates

Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates

Annual Meeting of the Association for Computational Linguistics (ACL), 2021
7 May 2021
Yuqing Xie
Yi-An Lai
Yuanjun Xiong
Yi Zhang
Stefano Soatto
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates"

12 / 12 papers shown
Title
Mitigating Negative Flips via Margin Preserving Training
Mitigating Negative Flips via Margin Preserving Training
Simone Ricci
Niccoló Biondi
F. Pernici
Alberto Del Bimbo
VLM
72
0
0
11 Nov 2025
FlipGuard: Defending Preference Alignment against Update Regression with
  Constrained Optimization
FlipGuard: Defending Preference Alignment against Update Regression with Constrained OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Mingye Zhu
Yi Liu
Quan Wang
Junbo Guo
Zhendong Mao
134
1
0
01 Oct 2024
MUSCLE: A Model Update Strategy for Compatible LLM Evolution
MUSCLE: A Model Update Strategy for Compatible LLM Evolution
Jessica Echterhoff
Fartash Faghri
Raviteja Vemulapalli
Ting-Yao Hu
Chun-Liang Li
Oncel Tuzel
Hadi Pouransari
KELM
155
7
0
12 Jul 2024
Evaluating the Robustness of Adverse Drug Event Classification Models
  Using Templates
Evaluating the Robustness of Adverse Drug Event Classification Models Using Templates
Dorothea MacPhail
David Harbecke
Lisa Raithel
Sebastian Möller
103
1
0
02 Jul 2024
LIRE: listwise reward enhancement for preference alignment
LIRE: listwise reward enhancement for preference alignment
Mingye Zhu
Yi Liu
Lei Zhang
Junbo Guo
Zhendong Mao
106
7
0
22 May 2024
Predictive Churn with the Set of Good Models
Predictive Churn with the Set of Good Models
J. Watson-Daniels
Flavio du Pin Calmon
Alexander DÁmour
Carol Xuan Long
David C. Parkes
Berk Ustun
281
11
0
12 Feb 2024
Pseudo-Label Training and Model Inertia in Neural Machine Translation
Pseudo-Label Training and Model Inertia in Neural Machine TranslationInternational Conference on Learning Representations (ICLR), 2023
B. Hsu
Anna Currey
Xing Niu
Maria Nuadejde
Georgiana Dinu
ODL
189
3
0
19 May 2023
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with
  Gated Fusion
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated FusionFindings (Findings), 2023
Yi-An Lai
Elman Mansimov
Yuqing Xie
Yan Zhang
113
6
0
04 Feb 2023
Backward Compatibility During Data Updates by Weight Interpolation
Backward Compatibility During Data Updates by Weight InterpolationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Raphael Schumann
Elman Mansimov
Yi-An Lai
Nikolaos Pappas
Xibin Gao
Yi Zhang
97
6
0
25 Jan 2023
ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent
  Training
ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent TrainingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yue Zhao
Yantao Shen
Yuanjun Xiong
Shuo Yang
Wei Xia
Zhuowen Tu
Bernt Shiele
Stefano Soatto
BDL
175
8
0
12 May 2022
Measuring and Reducing Model Update Regression in Structured Prediction
  for NLP
Measuring and Reducing Model Update Regression in Structured Prediction for NLPNeural Information Processing Systems (NeurIPS), 2022
Deng Cai
Elman Mansimov
Yi-An Lai
Yixuan Su
Lei Shu
Yi Zhang
KELM
236
11
0
07 Feb 2022
Hot-Refresh Model Upgrades with Regression-Alleviating Compatible
  Training in Image Retrieval
Hot-Refresh Model Upgrades with Regression-Alleviating Compatible Training in Image Retrieval
Binjie Zhang
Yixiao Ge
Yantao Shen
Yu Li
Chun Yuan
Xuyuan Xu
Yexin Wang
Ying Shan
VLM
156
8
0
24 Jan 2022
1