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2105.07109
Cited By
The Low-Dimensional Linear Geometry of Contextualized Word Representations
15 May 2021
Evan Hernandez
Jacob Andreas
MILM
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ArXiv
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Papers citing
"The Low-Dimensional Linear Geometry of Contextualized Word Representations"
12 / 12 papers shown
Title
Geometric Signatures of Compositionality Across a Language Model's Lifetime
Jin Hwa Lee
Thomas Jiralerspong
Lei Yu
Yoshua Bengio
Emily Cheng
CoGe
84
0
0
02 Oct 2024
Reasoning in Large Language Models: A Geometric Perspective
Romain Cosentino
Sarath Shekkizhar
LRM
44
2
0
02 Jul 2024
Brittle Minds, Fixable Activations: Understanding Belief Representations in Language Models
Matteo Bortoletto
Constantin Ruhdorfer
Lei Shi
Andreas Bulling
AI4MH
LRM
46
5
0
25 Jun 2024
Bridging Information-Theoretic and Geometric Compression in Language Models
Emily Cheng
Corentin Kervadec
Marco Baroni
34
16
0
20 Oct 2023
LEACE: Perfect linear concept erasure in closed form
Nora Belrose
David Schneider-Joseph
Shauli Ravfogel
Ryan Cotterell
Edward Raff
Stella Biderman
KELM
MU
41
102
0
06 Jun 2023
BrainBERT: Self-supervised representation learning for intracranial recordings
Christopher Wang
Vighnesh Subramaniam
A. Yaari
Gabriel Kreiman
Boris Katz
Ignacio Cases
Andrei Barbu
MedIm
SSL
27
31
0
28 Feb 2023
The Role of Interactive Visualization in Explaining (Large) NLP Models: from Data to Inference
R. Brath
Daniel A. Keim
Johannes Knittel
Shimei Pan
Pia Sommerauer
Hendrik Strobelt
19
11
0
11 Jan 2023
Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models
Aaron Mueller
Robert Frank
Tal Linzen
Luheng Wang
Sebastian Schuster
AIMat
19
33
0
17 Mar 2022
Linear Adversarial Concept Erasure
Shauli Ravfogel
Michael Twiton
Yoav Goldberg
Ryan Cotterell
KELM
81
57
0
28 Jan 2022
Putting Words in BERT's Mouth: Navigating Contextualized Vector Spaces with Pseudowords
Taelin Karidi
Yichu Zhou
Nathan Schneider
Omri Abend
Vivek Srikumar
86
13
0
23 Sep 2021
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
Elena Voita
Rico Sennrich
Ivan Titov
201
181
0
03 Sep 2019
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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