Planning to Explore: Curiosity-Driven Planning for LLM Test Generation

ArXi:2604.05159v1 Announce Type: cross The use of LLMs for code generation has naturally extended to code testing and evaluation. As codebases grow in size and complexity, so does the need for automated test generation. Current approaches for LLM-based test generation rely on strategies that maximize immediate coverage gain, a greedy approach that plateaus on code where reaching deep branches requires setup steps that individually yield zero new coverage.