MMLU

Dataset Card for MMLU Dataset Summary Measuring Massive Multitask Language Understanding by Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt (ICLR 2021). This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge. The

Papers using MMLU (8)

Decision Protocols in Multi-Agent Large Language Model Conversations2026ARMOR-MAD: Adaptive Routing for Heterogeneous Multi-Agent Debate in Large Language Model Reasoning2026G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks2024 · 1 citesGraph-of-Agents: A Graph-based Framework for Multi-Agent LLM Collaboration2026CARD: Towards Conditional Design of Multi-agent Topological Structures2026How to Train a Leader: Hierarchical Reasoning in Multi-Agent LLMs2025ART: Automatic Multi-step Reasoning And Tool-use For Large Language Models2023 · 50 citesA Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration2023 · 18 cites