MMLU-Pro

MMLU-Pro Dataset MMLU-Pro dataset is a more robust and challenging massive multi-task understanding dataset tailored to more rigorously benchmark large language models' capabilities. This dataset contains 12K complex questions across various disciplines. |Github | 🏆Leaderboard | 📖Paper | 🚀 What's New [2026.03.11] Ad

Papers using MMLU-Pro (8)

Decision Protocols in Multi-Agent Large Language Model Conversations2026Route, Communicate, and Reason: Gated Routing and Adaptive Depth for Efficient Multi-Agent Reasoning2026Not All Flips Are Conformity: Decomposing Stance Convergence in Multi-Agent LLM Debate2026ARMOR-MAD: Adaptive Routing for Heterogeneous Multi-Agent Debate in Large Language Model Reasoning2026Octotools: An Agentic Framework With Extensible Tools For Complex Reasoning2025 · 3 citesSAGE-32B: Agentic Reasoning Via Iterative Distillation2026Graph-of-Agents: A Graph-based Framework for Multi-Agent LLM Collaboration2026AWPO: Enhancing Tool-Use of Large Language Models through Adaptive Integration of Reasoning Rewards2025