Multilingual Prompt Localization for Agent-as-a-Judge: Language and Backbone Sensitivity in Requirement-Level Evaluation

1. 1Localize the Agent-as-a-Judge prompt stack to multiple languages
2. 2Evaluate the performance of different judge backbones across languages
3. 3Analyze the sensitivity of backbone rankings to language changes
4. 4Investigate the impact of language on requirement-level evaluation in agentic code benchmarks

AI researchers and developers working on multilingual models can benefit from understanding the impact of language and backbone on evaluation results, as it can inform their design choices and improve model performance

💡 The choice of language and backbone can significantly impact the evaluation results of agent-as-a-judge models

🤖 Language matters in AI evaluation! New study shows changing the judge's language can invert backbone rankings #AI #Multilingual