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 (13)

SEM: Reinforcement Learning for Search-Efficient Large Language Models2025 · 8 citesRUMAD: Reinforcement-Unifying Multi-Agent Debate2026 · 2 citesOpen-Medical-R1: How to Choose Data for RLVR Training at Medicine Domain2025 · 3 citesComplementing reinforcement learning with SFT through logit averaging in the post training of LLMs2026MDP-GRPO: Stabilized Group Relative Policy Optimization for Multi-Constraint Instruction Following2026LEMON: Learning Executable Multi-Agent Orchestration via Counterfactual Reinforcement Learning2026Post-Training is About States, Not Tokens: A State Distribution View of SFT, RL, and On-Policy Distillation2026Data Agent: Learning to Select Data via End-to-End Dynamic Optimization2026ASI-Evolve: AI Accelerates AI2026FlipLLM: Efficient Bit-Flip Attacks on Multimodal LLMs using Reinforcement Learning2025Reward Model Routing in Alignment2025MASPRM: Multi-Agent System Process Reward Model2025Are DeepSeek R1 And Other Reasoning Models More Faithful?2025