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Chad DeLuca

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#artificial intelligence Preprint Sep 2026

ChartRevise: A Dataset and Evaluation Protocol for Exact Chart Editing via Code

Chart editing requires cross-modal edit grounding, realizing a requested visual change in the code that draws it, with necessary related updates and without altering unrelated content. Existing benchmarks emphasize either code executability or chart quality, but their metrics do not clearly distinguish request completi...

Jia-Xiang Tang, Yi Zhou, Chad DeLuca et al. · 0 citations
Preprint Aug 2026

The Wording Effect: Quantifying Two-Way Drift in LLM Benchmark Performance

It is shown that rephrasing a problem while keeping its meaning and answer fixed routinely flips a model's answer in both directions, so some failures become successes and some successes become failures, and BenchDrift generates meaning-preserving variations of benchmark problems along four axes, namely linguistic, ref...

Shailja Thakur, Sungeun An, Chad DeLuca et al. · 1 citation

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