Debugging Functionality-Twisting Translations by LLMs via Differential Testing with Bayesian Prior
This work proposes tHinter, an automated approach that frames translation error localization as a differential testing task, and integrates mixed-factorial user studies, expert validation, and SWOT-based strategic analysis to assess the perceived helpfulness and resilience within the rapidly evolving LLM landscape.