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Found 4 papers, 2 papers with code
Transducer Tuning: Efficient Model Adaptation for Software Tasks Using Code Property Graphs
We introduce \approach, a technique to adapt large models for downstream code tasks using Code Property Graphs (CPGs).
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
In addition, using multiple tools to solve a task needs compositional reasoning by accurately understanding complex instructions.
Ranked #1 on
Code Generation
on BigCodeBench-Instruct
Your Instructions Are Not Always Helpful: Assessing the Efficacy of Instruction Fine-tuning for Software Vulnerability Detection
However, a challenge in deploying deep learning for vulnerability detection is the limited availability of training data.
On the Effectiveness of Pretrained Models for API Learning
We have also identified two different tokenization approaches that can contribute to a significant boost in PTMs' performance for the API sequence generation task.
