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ISU-Test reveals that systematic scene generation can dramatically improve the detection of failures in vision-language models used for critical in-car safety applications.
AgenticDataBench reveals that LLM-based data agents can be rigorously evaluated across diverse real-world scenarios, highlighting their strengths and weaknesses in handling complex data tasks.
