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What if This Modified That? Syntactic Interventions via Counterfactual
  Embeddings

What if This Modified That? Syntactic Interventions via Counterfactual Embeddings

28 May 2021
Mycal Tucker
Peng Qian
R. Levy
ArXivPDFHTML

Papers citing "What if This Modified That? Syntactic Interventions via Counterfactual Embeddings"

33 / 33 papers shown
Title
Linguistic Interpretability of Transformer-based Language Models: a systematic review
Linguistic Interpretability of Transformer-based Language Models: a systematic review
Miguel López-Otal
Jorge Gracia
Jordi Bernad
Carlos Bobed
Lucía Pitarch-Ballesteros
Emma Anglés-Herrero
VLM
38
0
0
09 Apr 2025
Analyzing the Inner Workings of Transformers in Compositional Generalization
Analyzing the Inner Workings of Transformers in Compositional Generalization
Ryoma Kumon
Hitomi Yanaka
74
0
0
24 Feb 2025
Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations
Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations
Nick Jiang
Anish Kachinthaya
Suzie Petryk
Yossi Gandelsman
VLM
34
16
0
03 Oct 2024
The Quest for the Right Mediator: A History, Survey, and Theoretical
  Grounding of Causal Interpretability
The Quest for the Right Mediator: A History, Survey, and Theoretical Grounding of Causal Interpretability
Aaron Mueller
Jannik Brinkmann
Millicent Li
Samuel Marks
Koyena Pal
...
Arnab Sen Sharma
Jiuding Sun
Eric Todd
David Bau
Yonatan Belinkov
CML
52
18
0
02 Aug 2024
A Rationale-centric Counterfactual Data Augmentation Method for
  Cross-Document Event Coreference Resolution
A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution
Bowen Ding
Qingkai Min
Shengkun Ma
Yingjie Li
Linyi Yang
Yue Zhang
46
4
0
02 Apr 2024
More than Correlation: Do Large Language Models Learn Causal
  Representations of Space?
More than Correlation: Do Large Language Models Learn Causal Representations of Space?
Yida Chen
Yixian Gan
Sijia Li
Li Yao
Xiaohan Zhao
LRM
30
4
0
26 Dec 2023
Uncovering Intermediate Variables in Transformers using Circuit Probing
Uncovering Intermediate Variables in Transformers using Circuit Probing
Michael A. Lepori
Thomas Serre
Ellie Pavlick
75
7
0
07 Nov 2023
Evaluating Neural Language Models as Cognitive Models of Language
  Acquisition
Evaluating Neural Language Models as Cognitive Models of Language Acquisition
Héctor Javier Vázquez Martínez
Annika Lea Heuser
Charles D. Yang
Jordan Kodner
33
8
0
31 Oct 2023
Verb Conjugation in Transformers Is Determined by Linear Encodings of
  Subject Number
Verb Conjugation in Transformers Is Determined by Linear Encodings of Subject Number
Sophie Hao
Tal Linzen
19
5
0
23 Oct 2023
Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and
  Simplicity Bias in MLMs
Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs
Angelica Chen
Ravid Schwartz-Ziv
Kyunghyun Cho
Matthew L. Leavitt
Naomi Saphra
29
62
0
13 Sep 2023
Emergent Linear Representations in World Models of Self-Supervised
  Sequence Models
Emergent Linear Representations in World Models of Self-Supervised Sequence Models
Neel Nanda
Andrew Lee
Martin Wattenberg
FAtt
MILM
45
145
0
02 Sep 2023
Why Linguistics Will Thrive in the 21st Century: A Reply to Piantadosi
  (2023)
Why Linguistics Will Thrive in the 21st Century: A Reply to Piantadosi (2023)
Jordan Kodner
Sarah Payne
Jeffrey Heinz
LRM
14
11
0
06 Aug 2023
Operationalising Representation in Natural Language Processing
Operationalising Representation in Natural Language Processing
J. Harding
28
11
0
14 Jun 2023
Beyond Surface Statistics: Scene Representations in a Latent Diffusion
  Model
Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model
Yida Chen
Fernanda Viégas
Martin Wattenberg
DiffM
8
22
0
09 Jun 2023
Semantic Composition in Visually Grounded Language Models
Semantic Composition in Visually Grounded Language Models
Rohan Pandey
CoGe
26
1
0
15 May 2023
Eliciting Latent Predictions from Transformers with the Tuned Lens
Eliciting Latent Predictions from Transformers with the Tuned Lens
Nora Belrose
Zach Furman
Logan Smith
Danny Halawi
Igor V. Ostrovsky
Lev McKinney
Stella Biderman
Jacob Steinhardt
22
193
0
14 Mar 2023
On Modifying a Neural Network's Perception
On Modifying a Neural Network's Perception
Manuel de Sousa Ribeiro
João Leite
AAML
27
1
0
05 Mar 2023
Competence-Based Analysis of Language Models
Competence-Based Analysis of Language Models
Adam Davies
Jize Jiang
Chengxiang Zhai
ELM
29
4
0
01 Mar 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems
A Review of the Role of Causality in Developing Trustworthy AI Systems
Niloy Ganguly
Dren Fazlija
Maryam Badar
M. Fisichella
Sandipan Sikdar
...
Koustav Rudra
Manolis Koubarakis
Gourab K. Patro
W. Z. E. Amri
Wolfgang Nejdl
CML
39
23
0
14 Feb 2023
Break It Down: Evidence for Structural Compositionality in Neural
  Networks
Break It Down: Evidence for Structural Compositionality in Neural Networks
Michael A. Lepori
Thomas Serre
Ellie Pavlick
37
29
0
26 Jan 2023
Syntax-guided Neural Module Distillation to Probe Compositionality in
  Sentence Embeddings
Syntax-guided Neural Module Distillation to Probe Compositionality in Sentence Embeddings
Rohan Pandey
19
1
0
21 Jan 2023
Probing for Incremental Parse States in Autoregressive Language Models
Probing for Incremental Parse States in Autoregressive Language Models
Tiwalayo Eisape
Vineet Gangireddy
R. Levy
Yoon Kim
25
11
0
17 Nov 2022
Towards Faithful Model Explanation in NLP: A Survey
Towards Faithful Model Explanation in NLP: A Survey
Qing Lyu
Marianna Apidianaki
Chris Callison-Burch
XAI
114
107
0
22 Sep 2022
Unit Testing for Concepts in Neural Networks
Unit Testing for Concepts in Neural Networks
Charles Lovering
Ellie Pavlick
25
28
0
28 Jul 2022
Prototype Based Classification from Hierarchy to Fairness
Prototype Based Classification from Hierarchy to Fairness
Mycal Tucker
J. Shah
FaML
16
6
0
27 May 2022
Naturalistic Causal Probing for Morpho-Syntax
Naturalistic Causal Probing for Morpho-Syntax
Afra Amini
Tiago Pimentel
Clara Meister
Ryan Cotterell
MILM
108
18
0
14 May 2022
When Does Syntax Mediate Neural Language Model Performance? Evidence
  from Dropout Probes
When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes
Mycal Tucker
Tiwalayo Eisape
Peng Qian
R. Levy
J. Shah
MILM
20
12
0
20 Apr 2022
Probing for the Usage of Grammatical Number
Probing for the Usage of Grammatical Number
Karim Lasri
Tiago Pimentel
Alessandro Lenci
Thierry Poibeau
Ryan Cotterell
35
55
0
19 Apr 2022
Automatically Generating Counterfactuals for Relation Classification
Automatically Generating Counterfactuals for Relation Classification
Mi Zhang
T. Qian
Tingyu Zhang
CML
24
0
0
22 Feb 2022
Probe-Based Interventions for Modifying Agent Behavior
Probe-Based Interventions for Modifying Agent Behavior
Mycal Tucker
William Kuhl
Khizer Shahid
Seth Karten
Katia P. Sycara
J. Shah
AAML
16
0
0
26 Jan 2022
Counterfactual Interventions Reveal the Causal Effect of Relative Clause
  Representations on Agreement Prediction
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction
Shauli Ravfogel
Grusha Prasad
Tal Linzen
Yoav Goldberg
31
57
0
14 May 2021
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
226
405
0
24 Feb 2021
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
201
882
0
03 May 2018
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