Article

Evaluation and Improvement of Test Selection for Large Language Models

2025-06-19

Abstract excerpt

Large language models (LLMs) have recently achieved significant success across various application domains, garnering substantial attention from different communities. Unfortunately, many faults still exist that LLM cannot properly predict. Such faults will harm the usability of LLMs in general and could introduce safety issues in reliability-critical systems such as autonomous driving systems. How to quickly rev...

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Literature Corpus work: f0b8c0fc-d660-5af2-b6cc-29fa93db0b3e
DOI: 10.22541/au.175033647.70907223/v1

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