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Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey

Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey

27 October 2023
Xinyu She
Yue Liu
Yanjie Zhao
Yiling He
Li Li
C. Tantithamthavorn
Zhan Qin
Haoyu Wang
    ELM
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Papers citing "Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey"

11 / 11 papers shown
Title
On Benchmarking Code LLMs for Android Malware Analysis
On Benchmarking Code LLMs for Android Malware Analysis
Yiling He
Hongyu She
Xingzhi Qian
Xinran Zheng
Zhuo Chen
Z. Qin
Lorenzo Cavallaro
ELM
43
1
0
01 Apr 2025
Human-In-the-Loop Software Development Agents
Human-In-the-Loop Software Development Agents
Wannita Takerngsaksiri
Jirat Pasuksmit
Patanamon Thongtanunam
C. Tantithamthavorn
Ruixiong Zhang
Fan Jiang
Jing Li
Evan Cook
K. Chen
Ming Wu
LLMAG
95
1
0
19 Nov 2024
A Systematic Evaluation of Large Language Models of Code
A Systematic Evaluation of Large Language Models of Code
Frank F. Xu
Uri Alon
Graham Neubig
Vincent J. Hellendoorn
ELM
ALM
196
624
0
26 Feb 2022
Trustworthy AI: From Principles to Practices
Trustworthy AI: From Principles to Practices
Bo-wen Li
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
108
349
0
04 Oct 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for
  Code Understanding and Generation
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Shafiq R. Joty
S. Hoi
204
1,451
0
02 Sep 2021
On the Evaluation of Neural Code Summarization
On the Evaluation of Neural Code Summarization
Ensheng Shi
Yanlin Wang
Lun Du
Junjie Chen
Shi Han
Hongyu Zhang
Dongmei Zhang
Hongbin Sun
ELM
110
85
0
15 Jul 2021
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
190
853
0
09 Feb 2021
Robustness of on-device Models: Adversarial Attack to Deep Learning
  Models on Android Apps
Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps
Yujin Huang
Han Hu
Chunyang Chen
AAML
FedML
72
31
0
12 Jan 2021
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
267
1,798
0
14 Dec 2020
Patching as Translation: the Data and the Metaphor
Patching as Translation: the Data and the Metaphor
Yangruibo Ding
Baishakhi Ray
Prem Devanbu
Vincent Hellendoorn
100
63
0
24 Aug 2020
Semantic Robustness of Models of Source Code
Semantic Robustness of Models of Source Code
Goutham Ramakrishnan
Jordan Henkel
Zi Wang
Aws Albarghouthi
S. Jha
Thomas W. Reps
SILM
AAML
35
95
0
07 Feb 2020
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