Massive Multitask Language Understanding (MMLU)
Emerging6papers using it
2024first seen
The Massive Multitask Language Understanding (MMLU) benchmark is a dataset used to evaluate the performance of language models across a wide range of natural language understanding tasks.
Papers using Massive Multitask Language Understanding (MMLU) (6)
- Language Complexity Measurement as a Noisy Zero-Shot Proxy for
Evaluating LLM PerformanceConfidence-Driven Multi-Scale Model Selection for Cost-Efficient InferenceEnterprise Large Language Model Evaluation BenchmarkLAG-MMLU: Benchmarking Frontier LLM Understanding in Latvian and GiriamaDFPE: A Diverse Fingerprint Ensemble for Enhancing LLM PerformanceRaCT: Ranking-aware Chain-of-Thought Optimization for LLMs