285 citations · 408 across the 9 of their papers we have counts for
Showing 2023Show all
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cs.SE2023★ 97 cited
How Effective Are Neural Networks for Fixing Security Vulnerabilities
Yi Wu, Nan Jiang, Hung Viet Pham +5
Security vulnerability repair is a difficult task that is in dire need of automation. Two groups of techniques have shown promise: (1) large code language models (LLMs) that have b…
cs.SE2023★ 14 cited
Impact of Code Language Models on Automated Program Repair
Nan Jiang, Kevin Liu, Thibaud Lutellier +1
Automated program repair (APR) aims to help developers improve software reliability by generating patches for buggy programs. Although many code language models (CLM) are developed…
cs.SE2023★ 2 cited
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair
Nan Jiang, Thibaud Lutellier, Yiling Lou +3
Automated Program Repair (APR) improves software reliability by generating patches for a buggy program automatically. Recent APR techniques leverage deep learning (DL) to build mod…