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CASPER: Change-Aware Slice Prioritization for LLM Regression Testing
- Source
- arxiv.org
- Author
- Biruk Asmare Muse, Lionel Briand, Yiwei Lu, Keheliya Gallaba
- Date

Why it matters
Changing a prompt or model can silently regress specific behaviors while the aggregate score holds. Grouping tests into behaviorally coherent slices and ranking them by regression risk tells you which behaviors broke under a fixed test budget.
Terms in this piece · Glossary
- LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
Read the source arxiv.org
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