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통찰 - LLM Robustness Evaluation
NoMIRACL: Evaluating LLM Robustness in Multilingual Retrieval-Augmented Generation
The author establishes NoMIRACL, a dataset for evaluating LLM robustness in multilingual retrieval-augmented generation. The study highlights challenges in LLM performance and the need for improved robustness.
NoMIRACL: Evaluating LLM Robustness in Multilingual Retrieval-Augmented Generation
LLMs struggle to balance hallucination and error rates in multilingual retrieval-augmented generation.
NoMIRACL: Evaluating LLM Robustness in Multilingual Retrieval-Augmented Generation
NoMIRACL evaluates LLM robustness in multilingual retrieval-augmented generation, highlighting challenges and model performance.
NoMIRACL: Evaluating LLM Robustness in Multilingual Retrieval-Augmented Generation
LLM Robustness Evaluation in Multilingual Retrieval-Augmented Generation
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