ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2204.10200
  4. Cited By
An Exploratory Study on Code Attention in BERT

An Exploratory Study on Code Attention in BERT

5 April 2022
Rishab Sharma
Fuxiang Chen
Fatemeh H. Fard
David Lo
ArXivPDFHTML

Papers citing "An Exploratory Study on Code Attention in BERT"

11 / 11 papers shown
Title
Beyond Self-learned Attention: Mitigating Attention Bias in
  Transformer-based Models Using Attention Guidance
Beyond Self-learned Attention: Mitigating Attention Bias in Transformer-based Models Using Attention Guidance
Jiri Gesi
Iftekhar Ahmed
22
0
0
26 Feb 2024
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Yao Wan
Yang He
Zhangqian Bi
Jianguo Zhang
Hongyu Zhang
Yulei Sui
Guandong Xu
Hai Jin
Philip S. Yu
20
20
0
30 Dec 2023
Naturalness of Attention: Revisiting Attention in Code Language Models
Naturalness of Attention: Revisiting Attention in Code Language Models
M. Saad
Tushar Sharma
17
2
0
22 Nov 2023
Investigating semantic subspaces of Transformer sentence embeddings
  through linear structural probing
Investigating semantic subspaces of Transformer sentence embeddings through linear structural probing
Dmitry Nikolaev
Sebastian Padó
37
5
0
18 Oct 2023
Large Language Models for Software Engineering: A Systematic Literature
  Review
Large Language Models for Software Engineering: A Systematic Literature Review
Xinying Hou
Yanjie Zhao
Yue Liu
Zhou Yang
Kailong Wang
Li Li
Xiapu Luo
David Lo
John C. Grundy
Haoyu Wang
25
320
0
21 Aug 2023
The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder
  Models for More Efficient Code Classification
The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code Classification
Anastasiia Grishina
Max Hort
Leon Moonen
22
6
0
08 May 2023
APIContext2Com: Code Comment Generation by Incorporating Pre-Defined API
  Documentation
APIContext2Com: Code Comment Generation by Incorporating Pre-Defined API Documentation
Ramin Shahbazi
Fatemeh H. Fard
15
2
0
03 Mar 2023
AST-Probe: Recovering abstract syntax trees from hidden representations
  of pre-trained language models
AST-Probe: Recovering abstract syntax trees from hidden representations of pre-trained language models
José Antonio Hernández López
M. Weyssow
Jesús Sánchez Cuadrado
H. Sahraoui
22
22
0
23 Jun 2022
Probing Pretrained Models of Source Code
Probing Pretrained Models of Source Code
Sergey Troshin
Nadezhda Chirkova
ELM
25
38
0
16 Feb 2022
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding
  and Generation
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu
Daya Guo
Shuo Ren
Junjie Huang
Alexey Svyatkovskiy
...
Nan Duan
Neel Sundaresan
Shao Kun Deng
Shengyu Fu
Shujie Liu
ELM
196
1,103
0
09 Feb 2021
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
404
2,576
0
03 Sep 2019
1