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Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets

Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets

4 April 2019
Nelson F. Liu
Roy Schwartz
Noah A. Smith
    AAML
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Papers citing "Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets"

35 / 35 papers shown
Title
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
Vatsal Gupta
Pranshu Pandya
Tushar Kataria
Vivek Gupta
Dan Roth
AAML
60
1
0
03 Jan 2025
Evaluating Large Language Models Using Contrast Sets: An Experimental
  Approach
Evaluating Large Language Models Using Contrast Sets: An Experimental Approach
Manish Sanwal
27
5
0
02 Apr 2024
Specification Overfitting in Artificial Intelligence
Specification Overfitting in Artificial Intelligence
Benjamin Roth
Pedro Henrique Luz de Araujo
Yuxi Xia
Saskia Kaltenbrunner
Christoph Korab
58
0
0
13 Mar 2024
Backdoor Learning for NLP: Recent Advances, Challenges, and Future
  Research Directions
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions
Marwan Omar
SILM
AAML
33
20
0
14 Feb 2023
Multi-Scales Data Augmentation Approach In Natural Language Inference
  For Artifacts Mitigation And Pre-Trained Model Optimization
Multi-Scales Data Augmentation Approach In Natural Language Inference For Artifacts Mitigation And Pre-Trained Model Optimization
Zhenyu Lu
20
1
0
16 Dec 2022
Enhancing Tabular Reasoning with Pattern Exploiting Training
Enhancing Tabular Reasoning with Pattern Exploiting Training
Abhilash Shankarampeta
Vivek Gupta
Shuo Zhang
LMTD
RALM
ReLM
68
6
0
21 Oct 2022
Transparency Helps Reveal When Language Models Learn Meaning
Transparency Helps Reveal When Language Models Learn Meaning
Zhaofeng Wu
William Merrill
Hao Peng
Iz Beltagy
Noah A. Smith
19
9
0
14 Oct 2022
Possible Stories: Evaluating Situated Commonsense Reasoning under
  Multiple Possible Scenarios
Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios
Mana Ashida
Saku Sugawara
65
6
0
16 Sep 2022
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine
  Reading Comprehension
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension
Xanh Ho
Johannes Mario Meissner
Saku Sugawara
Akiko Aizawa
OffRL
35
4
0
05 Sep 2022
Is "My Favorite New Movie" My Favorite Movie? Probing the Understanding
  of Recursive Noun Phrases
Is "My Favorite New Movie" My Favorite Movie? Probing the Understanding of Recursive Noun Phrases
Qing Lyu
Hua Zheng
Daoxin Li
Li Zhang
Marianna Apidianaki
Chris Callison-Burch
24
4
0
15 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
139
130
0
15 Dec 2021
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic
  benchmarking
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking
Ronen Tamari
Kyle Richardson
Aviad Sar-Shalom
Noam Kahlon
Nelson F. Liu
Reut Tsarfaty
Dafna Shahaf
43
5
0
30 Nov 2021
BERT Has Uncommon Sense: Similarity Ranking for Word Sense BERTology
BERT Has Uncommon Sense: Similarity Ranking for Word Sense BERTology
Luke Gessler
Nathan Schneider
38
7
0
20 Sep 2021
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
Prasetya Ajie Utama
N. Moosavi
Victor Sanh
Iryna Gurevych
AAML
61
35
0
09 Sep 2021
SyGNS: A Systematic Generalization Testbed Based on Natural Language
  Semantics
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics
Hitomi Yanaka
K. Mineshima
Kentaro Inui
NAI
AI4CE
38
11
0
02 Jun 2021
Thinking Aloud: Dynamic Context Generation Improves Zero-Shot Reasoning
  Performance of GPT-2
Thinking Aloud: Dynamic Context Generation Improves Zero-Shot Reasoning Performance of GPT-2
Gregor Betz
Kyle Richardson
Christian Voigt
ReLM
LRM
24
30
0
24 Mar 2021
Automatic Generation of Contrast Sets from Scene Graphs: Probing the
  Compositional Consistency of GQA
Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA
Yonatan Bitton
Gabriel Stanovsky
Roy Schwartz
Michael Elhadad
CoGe
25
33
0
17 Mar 2021
HateCheck: Functional Tests for Hate Speech Detection Models
HateCheck: Functional Tests for Hate Speech Detection Models
Paul Röttger
B. Vidgen
Dong Nguyen
Zeerak Talat
Helen Z. Margetts
J. Pierrehumbert
31
259
0
31 Dec 2020
DynaSent: A Dynamic Benchmark for Sentiment Analysis
DynaSent: A Dynamic Benchmark for Sentiment Analysis
Christopher Potts
Zhengxuan Wu
Atticus Geiger
Douwe Kiela
230
77
0
30 Dec 2020
CxGBERT: BERT meets Construction Grammar
CxGBERT: BERT meets Construction Grammar
Harish Tayyar Madabushi
Laurence Romain
Dagmar Divjak
P. Milin
19
39
0
09 Nov 2020
An Empirical Study on Robustness to Spurious Correlations using
  Pre-trained Language Models
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models
Lifu Tu
Garima Lalwani
Spandana Gella
He He
LRM
24
184
0
14 Jul 2020
Logical Inferences with Comparatives and Generalized Quantifiers
Logical Inferences with Comparatives and Generalized Quantifiers
Izumi Haruta
K. Mineshima
D. Bekki
ELM
27
11
0
16 May 2020
From SPMRL to NMRL: What Did We Learn (and Unlearn) in a Decade of
  Parsing Morphologically-Rich Languages (MRLs)?
From SPMRL to NMRL: What Did We Learn (and Unlearn) in a Decade of Parsing Morphologically-Rich Languages (MRLs)?
Reut Tsarfaty
Dan Bareket
Stav Klein
Amit Seker
16
39
0
04 May 2020
Robust Encodings: A Framework for Combating Adversarial Typos
Robust Encodings: A Framework for Combating Adversarial Typos
Erik Jones
Robin Jia
Aditi Raghunathan
Percy Liang
AAML
142
102
0
04 May 2020
DQI: Measuring Data Quality in NLP
DQI: Measuring Data Quality in NLP
Swaroop Mishra
Anjana Arunkumar
Bhavdeep Singh Sachdeva
Chris Bryan
Chitta Baral
36
30
0
02 May 2020
Elastic weight consolidation for better bias inoculation
Elastic weight consolidation for better bias inoculation
James Thorne
Andreas Vlachos
22
11
0
29 Apr 2020
Syntactic Data Augmentation Increases Robustness to Inference Heuristics
Syntactic Data Augmentation Increases Robustness to Inference Heuristics
Junghyun Min
R. Thomas McCoy
Dipanjan Das
Emily Pitler
Tal Linzen
30
175
0
24 Apr 2020
Adversarial Filters of Dataset Biases
Adversarial Filters of Dataset Biases
Ronan Le Bras
Swabha Swayamdipta
Chandra Bhagavatula
Rowan Zellers
Matthew E. Peters
Ashish Sabharwal
Yejin Choi
36
220
0
10 Feb 2020
Beat the AI: Investigating Adversarial Human Annotation for Reading
  Comprehension
Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension
Max Bartolo
A. Roberts
Johannes Welbl
Sebastian Riedel
Pontus Stenetorp
AAML
28
167
0
02 Feb 2020
Adversarial Analysis of Natural Language Inference Systems
Adversarial Analysis of Natural Language Inference Systems
Tiffany Chien
Jugal Kalita
AAML
39
12
0
07 Dec 2019
MRQA 2019 Shared Task: Evaluating Generalization in Reading
  Comprehension
MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension
Adam Fisch
Alon Talmor
Robin Jia
Minjoon Seo
Eunsol Choi
Danqi Chen
22
301
0
22 Oct 2019
Diversify Your Datasets: Analyzing Generalization via Controlled
  Variance in Adversarial Datasets
Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets
Ohad Rozen
Vered Shwartz
Roee Aharoni
Ido Dagan
AAML
19
37
0
21 Oct 2019
Probing Natural Language Inference Models through Semantic Fragments
Probing Natural Language Inference Models through Semantic Fragments
Kyle Richardson
Hai Hu
L. Moss
Ashish Sabharwal
11
148
0
16 Sep 2019
A Logic-Driven Framework for Consistency of Neural Models
A Logic-Driven Framework for Consistency of Neural Models
Tao Li
Vivek Gupta
Maitrey Mehta
Vivek Srikumar
AI4CE
21
101
0
31 Aug 2019
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
213
1,367
0
06 Jun 2016
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