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An Empirical Study on Capability of Large Language Models in
  Understanding Code Semantics

An Empirical Study on Capability of Large Language Models in Understanding Code Semantics

4 July 2024
Thu-Trang Nguyen
Thanh Trong Vu
H. Vo
Son Nguyen
    ELM
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Papers citing "An Empirical Study on Capability of Large Language Models in Understanding Code Semantics"

3 / 3 papers shown
Title
Evaluating Program Repair with Semantic-Preserving Transformations: A
  Naturalness Assessment
Evaluating Program Repair with Semantic-Preserving Transformations: A Naturalness Assessment
Thanh Le-Cong
Dat Nguyen
Bach Le
Toby Murray
24
1
0
19 Feb 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
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
1