Similarity Analysis of Contextual Word Representation Models

3 May 2020

Papers citing "Similarity Analysis of Contextual Word Representation Models"

21 / 21 papers shown

Title
Bias Similarity Across Large Language Models Hyejun Jeong Shiqing Ma Amir Houmansadr 51 0 0 20 Feb 2025
Looking Right is Sometimes Right: Investigating the Capabilities of Decoder-only LLMs for Sequence Labeling David Dukić Jan Šnajder 24 12 0 25 Jan 2024
Do Vision and Language Encoders Represent the World Similarly? Mayug Maniparambil Raiymbek Akshulakov Y. A. D. Djilali Sanath Narayan M. Seddik K. Mangalam Noel E. O'Connor VLM 21 11 0 10 Jan 2024
On Robustness of Finetuned Transformer-based NLP Models Pavan Kalyan Reddy Neerudu S. Oota Mounika Marreddy Venkateswara Rao Kagita Manish Gupta 24 7 0 23 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 52 64 0 10 May 2023
N2G: A Scalable Approach for Quantifying Interpretable Neuron Representations in Large Language Models Alex Foote Neel Nanda Esben Kran Ionnis Konstas Fazl Barez MILM 28 2 0 22 Apr 2023
ModelDiff: A Framework for Comparing Learning Algorithms Harshay Shah Sung Min Park Andrew Ilyas A. Madry SyDa 51 26 0 22 Nov 2022
On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning S. Takagi OffRL 18 7 0 17 Nov 2022
Discovering Latent Concepts Learned in BERT Fahim Dalvi A. Khan Firoj Alam Nadir Durrani Jia Xu Hassan Sajjad SSL 11 56 0 15 May 2022
Representation Topology Divergence: A Method for Comparing Neural Network Representations S. Barannikov I. Trofimov Nikita Balabin Evgeny Burnaev 3DPC 28 45 0 31 Dec 2021
Using Distributional Principles for the Semantic Study of Contextual Language Models Olivier Ferret 17 1 0 23 Nov 2021
How Familiar Does That Sound? Cross-Lingual Representational Similarity Analysis of Acoustic Word Embeddings Badr M. Abdullah Iuliia Zaitova T. Avgustinova Bernd Möbius Dietrich Klakow 35 10 0 21 Sep 2021
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers Jason Phang Haokun Liu Samuel R. Bowman 22 25 0 17 Sep 2021
Neuron-level Interpretation of Deep NLP Models: A Survey Hassan Sajjad Nadir Durrani Fahim Dalvi MILM AI4CE 29 80 0 30 Aug 2021
Do Vision Transformers See Like Convolutional Neural Networks? M. Raghu Thomas Unterthiner Simon Kornblith Chiyuan Zhang Alexey Dosovitskiy ViT 52 924 0 19 Aug 2021
How transfer learning impacts linguistic knowledge in deep NLP models? Nadir Durrani Hassan Sajjad Fahim Dalvi 13 48 0 31 May 2021
Parameter-Efficient Transfer Learning with Diff Pruning Demi Guo Alexander M. Rush Yoon Kim 11 383 0 14 Dec 2020
Similarity Analysis of Self-Supervised Speech Representations Yu-An Chung Yonatan Belinkov James R. Glass SSL 33 36 0 22 Oct 2020
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives Elena Voita Rico Sennrich Ivan Titov 193 181 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
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