Veronica Liesaputra

2 accepted papers

2026

VulnBench: A Comprehensive Benchmark for Transformer-Based Vulnerability Detection

Jake Norton, David Eyers, Veronica Liesaputra

AAAI 2026technical

Reproducible benchmarking of tools that automatically detect vulnerabilities in source code remains challenging due to inconsistent implementations, varying data preprocessing, and methodological flaws that compromise fair model comparison. In a recent study, 9 in 10 vulnerability detection studies

Cited by 0 Source ↗PDF ↗Scholar ↗

2022

Reproducibility and Automation of the Appraisal Taxonomy

Pradeesh Parameswaran, Andrew Trotman, Veronica Liesaputra, David Eyers

COLING 2022main

There is a lack of reproducibility in results from experiments that apply the Appraisal taxonomy. Appraisal is widely used by linguists to study how people judge things or people. Automating Appraisal could be beneficial for use cases such as moderating online comments. Past work in Appraisal annota…

Cited by 1 Source ↗PDF ↗Scholar ↗