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20242026
most citedCODEPROMPTZIP: Code-specific Prompt Compression for Retrieval-Augmented Generation in Coding Tasks with LMs

1 citations · 1 across the 5 of their papers we have counts for

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cs.SE2026

Static Program Slicing Using Language Models With Dataflow-Aware Pretraining and Constrained Decoding

Pengfei He, Shaowei Wang, Tse-Hsun Chen +1

Static program slicing is a fundamental software engineering technique for isolating code relevant to specific variables. While recent learning-based approaches using language mode…

cs.SE2026

CI-Repair-Bench: A Repository-Aware Benchmark for Automated Patch Validation via CI Workflows

Rabeya Khatun Muna, Md Nakhla Rafi, Tse-Hsun +1

Continuous Integration (CI) enforces repository-level correctness through multi-stage workflows and is central to modern software development, yet diagnosing and repairing CI failu…

cs.SE2026

When LLMs Lag Behind: Knowledge Conflicts from Evolving APIs in Code Generation

Ahmed Nusayer Ashik, Shaowei Wang, Tse-Hsun Chen +2

The rapid evolution of software libraries creates a significant challenge for Large Language Models (LLMs), whose static parametric knowledge often becomes stale post-training. Whi…

cs.SE20261 cited

CODEPROMPTZIP: Code-specific Prompt Compression for Retrieval-Augmented Generation in Coding Tasks with LMs

Pengfei He, Shaowei Wang, Tse-Hsun Chen

Retrieval-Augmented Generation (RAG) enhances coding tasks by incorporating retrieved code examples into prompts. However, lengthy prompts, often exceeding tens of thousands of tok…

cs.SE2026

A Survey of Code Review Benchmarks and Evaluation Practices in Pre-LLM and LLM Era

Taufiqul Islam Khan, Shaowei Wang, Haoxiang Zhang +1

Code review is a critical practice in modern software engineering, helping developers detect defects early, improve code quality, and facilitate knowledge sharing. With the rapid a…