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cs.SE2026
Evaluating and Mitigating the Misguidance Effect of Buggy Code in LLM-Generated Unit Tests
Junda Zhao, Shurui Zhou, Eldan Cohen
While Large Language Models (LLMs) show great promise for automating unit test generation, recent studies suggest that the quality of generated tests can be negatively impacted whe…
cs.SE2026
Do Coverage and Mutation Scores of LLM-Generated Test Suites Correlate with Their Effectiveness? (Replicability Study)
Junda Zhao, Shurui Zhou, Eldan Cohen
Recent advances in large language models (LLMs) have driven growing interest in using LLMs to automate test generation. Prior work commonly evaluates generated test suites using pr…
cs.SE2025
Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models
Junda Zhao, Yuliang Song, Eldan Cohen
Recent advancements in source code summarization have leveraged transformer-based pre-trained models, including Large Language Models of Code (LLMCs), to automate and improve the g…