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Assessing Phrasal Representation and Composition in Transformers

Assessing Phrasal Representation and Composition in Transformers

8 October 2020
Lang-Chi Yu
Allyson Ettinger
    CoGe
ArXivPDFHTML

Papers citing "Assessing Phrasal Representation and Composition in Transformers"

16 / 16 papers shown
Title
Interpreting token compositionality in LLMs: A robustness analysis
Interpreting token compositionality in LLMs: A robustness analysis
Nura Aljaafari
Danilo S. Carvalho
André Freitas
30
0
0
16 Oct 2024
Should We Fear Large Language Models? A Structural Analysis of the Human
  Reasoning System for Elucidating LLM Capabilities and Risks Through the Lens
  of Heidegger's Philosophy
Should We Fear Large Language Models? A Structural Analysis of the Human Reasoning System for Elucidating LLM Capabilities and Risks Through the Lens of Heidegger's Philosophy
Jianqiiu Zhang
ELM
35
1
0
05 Mar 2024
Learning High-Quality and General-Purpose Phrase Representations
Learning High-Quality and General-Purpose Phrase Representations
Lihu Chen
Gaël Varoquaux
Fabian M. Suchanek
30
3
0
18 Jan 2024
Towards Equipping Transformer with the Ability of Systematic
  Compositionality
Towards Equipping Transformer with the Ability of Systematic Compositionality
Chen Huang
Peixin Qin
Wenqiang Lei
Jiancheng Lv
24
1
0
12 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
Effective Cross-Task Transfer Learning for Explainable Natural Language
  Inference with T5
Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5
Irina Bigoulaeva
Rachneet Sachdeva
Harish Tayyar Madabushi
Aline Villavicencio
Iryna Gurevych
LRM
42
5
0
31 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
Are Representations Built from the Ground Up? An Empirical Examination
  of Local Composition in Language Models
Are Representations Built from the Ground Up? An Empirical Examination of Local Composition in Language Models
Emmy Liu
Graham Neubig
CoGe
13
10
0
07 Oct 2022
Interpretation of Black Box NLP Models: A Survey
Interpretation of Black Box NLP Models: A Survey
Shivani Choudhary
N. Chatterjee
S. K. Saha
FAtt
32
10
0
31 Mar 2022
Neural reality of argument structure constructions
Neural reality of argument structure constructions
Bai Li
Zining Zhu
Guillaume Thomas
Frank Rudzicz
Yang Xu
38
26
0
24 Feb 2022
Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to
  Corpus Exploration
Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration
Shufan Wang
Laure Thompson
Mohit Iyyer
180
66
0
13 Sep 2021
It's not Rocket Science : Interpreting Figurative Language in Narratives
It's not Rocket Science : Interpreting Figurative Language in Narratives
Tuhin Chakrabarty
Yejin Choi
Vered Shwartz
19
55
0
31 Aug 2021
Word meaning in minds and machines
Word meaning in minds and machines
Brenden Lake
G. Murphy
NAI
15
117
0
04 Aug 2020
Spying on your neighbors: Fine-grained probing of contextual embeddings
  for information about surrounding words
Spying on your neighbors: Fine-grained probing of contextual embeddings for information about surrounding words
Josef Klafka
Allyson Ettinger
51
42
0
04 May 2020
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
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,956
0
20 Apr 2018
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