LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks
- Saad Ullah
- Mingji Han
- et al.
- 2024
- S&P 2024
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89 results for AI for Code
Leveraging Large Language Models to Enhance Domain Expert Inclusion in Data Science Workflows
- Jasmine Shih
- Vishal Mohanty
- et al.
- 2024
- CHI 2024
Granite code models: A family of open foundation models for code intelligence
- Mayank Mishra
- Matthew Stallone
- et al.
- 2024
- arXiv
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
- Marcus Min
- Robin (Yangruibo) Ding
- et al.
- 2024
- ICLR 2024
Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code
- Rangeet Pan
- Ali Reza Ibrahimzada
- et al.
- 2024
- ICSE 2024
Leveraging Large Language Models to Improve REST API Testing
- Myeongsoo Kim
- Tyler Stennett
- et al.
- 2024
- ICSE 2024
An Empirical Comparison of Code Generation Approaches for Ansible
- Benjamin Darnell
- Hetarth Chopra
- et al.
- 2024
- ICSE 2024
GNNIC: Finding Long-Lost Sibling Functions with Abstract Similarity
- Qiushi Wu
- Zhongshu Gu
- et al.
- 2024
- NDSS 2024
Analyzing source code vulnerabilities in the D2A dataset with ML ensembles and C-BERT
- Saurabh Pujar
- Yunhui Zheng
- et al.
- 2024
- Empirical Software Engineering
Beyond Human Creativity: A Tutorial on Advancements in AI Generated Content
- Bang Liu
- Yu Chen
- et al.
- 2024
- AAAI 2024