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Informativeness and Invariance: Two Perspectives on Spurious Correlations in Natural Language
North American Chapter of the Association for Computational Linguistics (NAACL), 2022
9 April 2022
Jacob Eisenstein
CML
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Papers citing
"Informativeness and Invariance: Two Perspectives on Spurious Correlations in Natural Language"
14 / 14 papers shown
CASCADE Your Datasets for Cross-Mode Knowledge Retrieval of Language Models
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Yi Zhang
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337
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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
298
1
0
17 Jun 2024
The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model Pretraining
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Ting-Rui Chiang
Dani Yogatama
187
1
0
25 Oct 2023
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks
North American Chapter of the Association for Computational Linguistics (NAACL), 2023
Zhaofeng Wu
Linlu Qiu
Alexis Ross
Ekin Akyürek
Boyuan Chen
Bailin Wang
Najoung Kim
Jacob Andreas
Yoon Kim
LRM
ReLM
521
328
0
05 Jul 2023
Stubborn Lexical Bias in Data and Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Sofia Serrano
Jesse Dodge
Noah A. Smith
307
2
0
03 Jun 2023
CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Rahul Madhavan
Rishabh Garg
Kahini Wadhawan
S. Mehta
310
6
0
01 Jun 2023
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization
International Conference on Learning Representations (ICLR), 2022
Bhargavi Paranjape
Pradeep Dasigi
Vivek Srikumar
Luke Zettlemoyer
Hannaneh Hajishirzi
293
9
0
02 Dec 2022
Understanding Text Classification Data and Models Using Aggregated Input Salience
Sebastian Ebert
Alice Shoshana Jakobovits
Katja Filippova
FAtt
484
3
0
10 Nov 2022
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Phillip Howard
Gadi Singer
Vasudev Lal
Yejin Choi
Swabha Swayamdipta
CML
296
30
0
22 Oct 2022
Finding Dataset Shortcuts with Grammar Induction
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Dan Friedman
Alexander Wettig
Danqi Chen
302
19
0
20 Oct 2022
On Feature Learning in the Presence of Spurious Correlations
Neural Information Processing Systems (NeurIPS), 2022
Pavel Izmailov
Polina Kirichenko
Nate Gruver
A. Wilson
375
184
0
20 Oct 2022
Measuring Causal Effects of Data Statistics on Language Model's `Factual' Predictions
Yanai Elazar
Nora Kassner
Haiqin Yang
Amir Feder
Abhilasha Ravichander
Marius Mosbach
Yonatan Belinkov
Hinrich Schütze
Yoav Goldberg
CML
SyDa
MILM
290
63
0
28 Jul 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
International Conference on Learning Representations (ICLR), 2022
Polina Kirichenko
Pavel Izmailov
A. Wilson
OOD
577
444
0
06 Apr 2022
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Alisa Liu
Swabha Swayamdipta
Noah A. Smith
Yejin Choi
750
257
0
16 Jan 2022
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