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Efficiency Robustness of Dynamic Deep Learning Systems

RVISmith: Fuzzing Compilers for RVV Intrinsics

An Investigation on Numerical Bugs in GPU Programs Towards Automated Bug Detection

Medusa: A Framework for Collaborative Development of Foundation Models with Automated Parameter Ownership Assignment

TAOPT: Tool-Agnostic Optimization of Parallelized Automated Mobile UI Testing

CodeImprove: Program Adaptation for Deep Code Models

Can you mimic me? Exploring the Use of Android Record & Replay Tools in Debugging

Guardian: A Runtime Framework for LLM-based UI Exploration

HateModerate: Testing Hate Speech Detectors against Content Moderation Policies

HawkEyes: Spotting and Evading Instruction Disalignments of LLMs