{"total":12,"rows":[{"id":"2603.15611","title":"Code-A1: Adversarial Evolving of Code LLM and Test LLM via Reinforcement Learning","created":"2026-03-16","cited_by_count":8,"area":null},{"id":"2404.09384","title":"Generative transformations and patterns in LLM-native approaches for software verification and falsification","created":"2024-04-14","cited_by_count":2,"area":null},{"id":"2412.14137","title":"Design choices made by LLM-based test generators prevent them from finding bugs","created":"2024-12-18","cited_by_count":2,"area":null},{"id":"2509.25043","title":"Large Language Models for Software Testing: A Research Roadmap","created":"2025-09-29","cited_by_count":2,"area":null},{"id":"2602.20610","title":"SpecMind: Cognitively Inspired, Interactive Multi-Turn Framework for Postcondition Inference","created":"2026-02-24","cited_by_count":2,"area":null},{"id":"2509.20384","title":"R1-Fuzz: Specializing Language Models for Textual Fuzzing via Reinforcement Learning","created":"2025-09-21","cited_by_count":1,"area":null},{"id":"2509.23812","title":"Navigating the Labyrinth: Path-Sensitive Unit Test Generation with Large Language Models","created":"2025-09-28","cited_by_count":1,"area":null},{"id":"2604.05159","title":"Planning to Explore: Curiosity-Driven Planning for LLM Test Generation","created":"2026-04-06","cited_by_count":1,"area":null},{"id":"2604.10126","title":"MR-Coupler: Automated Metamorphic Test Generation via Functional Coupling Analysis","created":"2026-04-11","cited_by_count":1,"area":null},{"id":"2607.02057","title":"Prompt Coverage Adequacy","created":"2026-07-02","cited_by_count":0,"area":null},{"id":"2607.22883","title":"Evaluating and Mitigating the Misguidance Effect of Buggy Code in LLM-Generated Unit Tests","created":"2026-07-24","cited_by_count":0,"area":null},{"id":"2609.35841","title":"Beyond Rule-Based Mutation Testing: Test-Aware Mutant Generation Using Large Language Models","created":"2026-09-24","cited_by_count":0,"area":null}],"next_cursor":null}