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2006.15222
Cited By
BERTology Meets Biology: Interpreting Attention in Protein Language Models
26 June 2020
Jesse Vig
Ali Madani
L. Varshney
Caiming Xiong
R. Socher
Nazneen Rajani
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Papers citing
"BERTology Meets Biology: Interpreting Attention in Protein Language Models"
50 / 73 papers shown
Title
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Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives
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Towards Interpretable Protein Structure Prediction with Sparse Autoencoders
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David J. Yang
John J. Yang
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11 Mar 2025
evoBPE: Evolutionary Protein Sequence Tokenization
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Arzucan Özgür
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11 Mar 2025
Protein Large Language Models: A Comprehensive Survey
Yijia Xiao
Wanjia Zhao
Junkai Zhang
Yiqiao Jin
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James Y. Zou
Y. Sun
Wei Wang
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21 Feb 2025
Transformers trained on proteins can learn to attend to Euclidean distance
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Constantin Schneider
Matthew I.J. Raybould
Charlotte M. Deane
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03 Feb 2025
Linguistic Laws Meet Protein Sequences: A Comparative Analysis of Subword Tokenization Methods
Burak Suyunu
Enes Taylan
Arzucan Özgür
62
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26 Nov 2024
Computational design of target-specific linear peptide binders with TransformerBeta
Haowen Zhao
Francesco A. Aprile
Barbara Bravi
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07 Oct 2024
FoodPuzzle: Developing Large Language Model Agents as Flavor Scientists
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Donghee Lee
John Sweeney
Jiatong Shi
Emily Steliotes
Matthew Lange
Jonathan May
Muhao Chen
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19 Sep 2024
ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding
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Edward Sun
Yiqiao Jin
Qifan Wang
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47
9
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21 Aug 2024
Towards Interpretable Visuo-Tactile Predictive Models for Soft Robot Interactions
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T. G. Thuruthel
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23
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Santiago Miret
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50
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Shweta Verma
Krishna Narasimhan
Mira Mezini
40
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17 Jun 2024
Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context Information
Gilchan Park
S. McCorkle
Carlos Soto
Ian K. Blaby
Shinjae Yoo
22
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08 Mar 2024
ProtChatGPT: Towards Understanding Proteins with Large Language Models
Chao Wang
Hehe Fan
Ruijie Quan
Yi Yang
26
12
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15 Feb 2024
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
Agustinus Kristiadi
Felix Strieth-Kalthoff
Marta Skreta
Pascal Poupart
Alán Aspuru-Guzik
Geoff Pleiss
30
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07 Feb 2024
Identification of Knowledge Neurons in Protein Language Models
Divya Nori
Shivali Singireddy
M. T. Have
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13
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17 Dec 2023
BEND: Benchmarking DNA Language Models on biologically meaningful tasks
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Felix Teufel
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Dennis Madsen
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Ole Winther
Wouter Boomsma
12
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21 Nov 2023
Understanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision
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Harish Kothandaraman
Dipesh Tamboli
N. Lanman
Vaneet Aggarwal
AI4CE
27
2
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04 Nov 2023
GPCR-BERT: Interpreting Sequential Design of G Protein Coupled Receptors Using Protein Language Models
Seongwon Kim
P. Mollaei
Akshay Antony
Rishikesh Magar
A. Farimani
17
10
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30 Oct 2023
A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design
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Stan Z. Li
27
17
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A Meta-Learning Perspective on Transformers for Causal Language Modeling
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29
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A Comprehensive Review of Generative AI in Healthcare
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Sahar Yarmohammadtoosky
Matthew M. Nikahd
Pengfei Dong
Xianqi Li
Linxia Gu
MedIm
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19
19
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01 Oct 2023
AntiBARTy Diffusion for Property Guided Antibody Design
Jordan Venderley
DiffM
16
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22 Sep 2023
Insights Into the Inner Workings of Transformer Models for Protein Function Prediction
M. Wenzel
Erik Grüner
Nils Strodthoff
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19
7
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07 Sep 2023
Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge
Gilchan Park
Byung-Jun Yoon
Xihaier Luo
Vanessa López-Marrero
Shinjae Yoo
Francis J. Alexander
38
10
0
17 Jul 2023
Graph Denoising Diffusion for Inverse Protein Folding
Kai Yi
Bingxin Zhou
Yiqing Shen
Pietro Lio'
Yu Guang Wang
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11
41
0
29 Jun 2023
A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks
Saidul Islam
Hanae Elmekki
Ahmed Elsebai
Jamal Bentahar
Najat Drawel
Gaith Rjoub
Witold Pedrycz
ViT
MedIm
19
171
0
11 Jun 2023
Multi-level Protein Representation Learning for Blind Mutational Effect Prediction
Y. Tan
Bingxin Zhou
Yuanhong Jiang
Yu Wang
Liang Hong
21
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08 Jun 2023
Enhancing the Protein Tertiary Structure Prediction by Multiple Sequence Alignment Generation
Le Zhang
Jiayang Chen
Tao Shen
Yu-Hu Li
S. Sun
11
5
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02 Jun 2023
PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models
Aditi Mishra
Utkarsh Soni
Anjana Arunkumar
Jinbin Huang
Bum Chul Kwon
Chris Bryan
LRM
28
33
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04 Apr 2023
Protein Representation Learning via Knowledge Enhanced Primary Structure Modeling
Hong-Yu Zhou
Yunxiang Fu
Zhicheng Zhang
Cheng Bian
Yizhou Yu
22
8
0
30 Jan 2023
Ontology Pre-training for Poison Prediction
Martin Glauer
Fabian Neuhaus
Till Mossakowski
Janna Hastings
13
4
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20 Jan 2023
Ankh: Optimized Protein Language Model Unlocks General-Purpose Modelling
Ahmed Elnaggar
Hazem Essam
Wafaa Salah-Eldin
Walid Moustafa
Mohamed Elkerdawy
Charlotte Rochereau
B. Rost
153
86
0
16 Jan 2023
Probabilistic thermal stability prediction through sparsity promoting transformer representation
Yevgen Zainchkovskyy
J. Ferkinghoff-Borg
Anja Bennett
T. Egebjerg
Nikolai Lorenzen
Per Greisen
Søren Hauberg
Carsten Stahlhut
AI4CE
11
0
0
10 Nov 2022
Influence Functions for Sequence Tagging Models
Sarthak Jain
Varun Manjunatha
Byron C. Wallace
A. Nenkova
TDI
30
8
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25 Oct 2022
ImmunoLingo: Linguistics-based formalization of the antibody language
Mai Ha Vu
Philippe A. Robert
Rahmad Akbar
B. Swiatczak
G. K. Sandve
Dag Trygve Tryslew Haug
Victor Greiff
AI4CE
28
8
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26 Sep 2022
Can Offline Reinforcement Learning Help Natural Language Understanding?
Ziqi Zhang
Yile Wang
Yue Zhang
Donglin Wang
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20
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15 Sep 2022
Linguistically inspired roadmap for building biologically reliable protein language models
Mai Ha Vu
Rahmad Akbar
Philippe A. Robert
B. Swiatczak
Victor Greiff
G. K. Sandve
Dag Trygve Tryslew Haug
39
35
0
03 Jul 2022
Transformer Neural Networks Attending to Both Sequence and Structure for Protein Prediction Tasks
Anowarul Kabir
Amarda Shehu
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15
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17 Jun 2022
Exploring evolution-aware & -free protein language models as protein function predictors
Min Hu
Fajie Yuan
Kevin Kaichuang Yang
Fusong Ju
Jingyu Su
Hongya Wang
Fei Yang
Qiuyang Ding
13
36
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14 Jun 2022
Learning to Estimate Shapley Values with Vision Transformers
Ian Covert
Chanwoo Kim
Su-In Lee
FAtt
25
34
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10 Jun 2022
Visualizing and Explaining Language Models
Adrian M. P. Braşoveanu
Razvan Andonie
MILM
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29
4
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30 Apr 2022
Generative power of a protein language model trained on multiple sequence alignments
Damiano Sgarbossa
Umberto Lupo
Anne-Florence Bitbol
19
32
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14 Apr 2022
Structure-aware Protein Self-supervised Learning
Can Chen
Jingbo Zhou
Fan Wang
Xue Liu
Dejing Dou
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13
65
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Protein language models trained on multiple sequence alignments learn phylogenetic relationships
Umberto Lupo
Damiano Sgarbossa
Anne-Florence Bitbol
24
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29 Mar 2022
What Do They Capture? -- A Structural Analysis of Pre-Trained Language Models for Source Code
Yao Wan
Wei-Ye Zhao
Hongyu Zhang
Yulei Sui
Guandong Xu
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105
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14 Feb 2022
Prompt-Guided Injection of Conformation to Pre-trained Protein Model
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Zeyuan Wang
Yuqiang Han
Haoran Yu
Xurui Jin
Huajun Chen
23
3
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Transformers and the representation of biomedical background knowledge
Oskar Wysocki
Zili Zhou
Paul O'Regan
D. Ferreira
Magdalena Wysocka
Dónal Landers
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MedIm
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Matteo Manica
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