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Informativeness and Invariance: Two Perspectives on Spurious
  Correlations in Natural Language

Informativeness and Invariance: Two Perspectives on Spurious Correlations in Natural Language

9 April 2022
Jacob Eisenstein
    CML
ArXivPDFHTML

Papers citing "Informativeness and Invariance: Two Perspectives on Spurious Correlations in Natural Language"

22 / 22 papers shown
Title
CASCADE Your Datasets for Cross-Mode Knowledge Retrieval of Language Models
CASCADE Your Datasets for Cross-Mode Knowledge Retrieval of Language Models
Runlong Zhou
Yi Zhang
RALM
53
0
0
02 Apr 2025
RNR: Teaching Large Language Models to Follow Roles and Rules
RNR: Teaching Large Language Models to Follow Roles and Rules
Kuan-Chieh Jackson Wang
Alexander Bukharin
Haoming Jiang
Qingyu Yin
Zhengyang Wang
...
Chao Zhang
Bing Yin
Xian Li
Jianshu Chen
Shiyang Li
ALM
21
1
0
10 Sep 2024
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to
  Address Shortcut Shifts in Natural Language Understanding
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding
Ukyo Honda
Tatsushi Oka
Peinan Zhang
Masato Mita
31
1
0
17 Jun 2024
Measuring and Improving Attentiveness to Partial Inputs with
  Counterfactuals
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals
Yanai Elazar
Bhargavi Paranjape
Hao Peng
Sarah Wiegreffe
Khyathi Raghavi
Vivek Srikumar
Sameer Singh
Noah A. Smith
AAML
OOD
21
0
0
16 Nov 2023
The Distributional Hypothesis Does Not Fully Explain the Benefits of
  Masked Language Model Pretraining
The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model Pretraining
Ting-Rui Chiang
Dani Yogatama
20
1
0
25 Oct 2023
Establishing Trustworthiness: Rethinking Tasks and Model Evaluation
Establishing Trustworthiness: Rethinking Tasks and Model Evaluation
Robert Litschko
Max Müller-Eberstein
Rob van der Goot
Leon Weber
Barbara Plank
LRM
6
2
0
09 Oct 2023
Reasoning or Reciting? Exploring the Capabilities and Limitations of
  Language Models Through Counterfactual Tasks
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks
Zhaofeng Wu
Linlu Qiu
Alexis Ross
Ekin Akyürek
Boyuan Chen
Bailin Wang
Najoung Kim
Jacob Andreas
Yoon Kim
LRM
ReLM
35
191
0
05 Jul 2023
Stubborn Lexical Bias in Data and Models
Stubborn Lexical Bias in Data and Models
Sofia Serrano
Jesse Dodge
Noah A. Smith
24
2
0
03 Jun 2023
CFL: Causally Fair Language Models Through Token-level Attribute
  Controlled Generation
CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation
Rahul Madhavan
Rishabh Garg
Kahini Wadhawan
S. Mehta
11
5
0
01 Jun 2023
Shift-Robust Molecular Relational Learning with Causal Substructure
Shift-Robust Molecular Relational Learning with Causal Substructure
Namkyeong Lee
Kanghoon Yoon
Gyoung S. Na
Sein Kim
Chanyoung Park
21
15
0
29 May 2023
Robust Natural Language Understanding with Residual Attention Debiasing
Robust Natural Language Understanding with Residual Attention Debiasing
Fei Wang
James Y. Huang
Tianyi Yan
Wenxuan Zhou
Muhao Chen
24
10
0
28 May 2023
AGRO: Adversarial Discovery of Error-prone groups for Robust
  Optimization
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization
Bhargavi Paranjape
Pradeep Dasigi
Vivek Srikumar
Luke Zettlemoyer
Hannaneh Hajishirzi
23
7
0
02 Dec 2022
Understanding Text Classification Data and Models Using Aggregated Input
  Salience
Understanding Text Classification Data and Models Using Aggregated Input Salience
Sebastian Ebert
Alice Shoshana Jakobovits
Katja Filippova
FAtt
17
3
0
10 Nov 2022
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer
  Data Augmentation
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation
Phillip Howard
Gadi Singer
Vasudev Lal
Yejin Choi
Swabha Swayamdipta
CML
48
25
0
22 Oct 2022
Finding Dataset Shortcuts with Grammar Induction
Finding Dataset Shortcuts with Grammar Induction
Dan Friedman
Alexander Wettig
Danqi Chen
16
14
0
20 Oct 2022
On Feature Learning in the Presence of Spurious Correlations
On Feature Learning in the Presence of Spurious Correlations
Pavel Izmailov
Polina Kirichenko
Nate Gruver
A. Wilson
16
116
0
20 Oct 2022
Nuisances via Negativa: Adjusting for Spurious Correlations via Data
  Augmentation
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation
A. Puli
Nitish Joshi
Yoav Wald
Hera Y. He
Rajesh Ranganath
24
16
0
04 Oct 2022
Measuring Causal Effects of Data Statistics on Language Model's
  `Factual' Predictions
Measuring Causal Effects of Data Statistics on Language Model's `Factual' Predictions
Yanai Elazar
Nora Kassner
Shauli Ravfogel
Amir Feder
Abhilasha Ravichander
Marius Mosbach
Yonatan Belinkov
Hinrich Schütze
Yoav Goldberg
CML
SyDa
MILM
23
52
0
28 Jul 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious
  Correlations
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
Polina Kirichenko
Pavel Izmailov
A. Wilson
OOD
24
313
0
06 Apr 2022
WANLI: Worker and AI Collaboration for Natural Language Inference
  Dataset Creation
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation
Alisa Liu
Swabha Swayamdipta
Noah A. Smith
Yejin Choi
21
212
0
16 Jan 2022
Competency Problems: On Finding and Removing Artifacts in Language Data
Competency Problems: On Finding and Removing Artifacts in Language Data
Matt Gardner
William Merrill
Jesse Dodge
Matthew E. Peters
Alexis Ross
Sameer Singh
Noah A. Smith
161
106
0
17 Apr 2021
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
187
574
0
02 May 2018
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