腾讯混元开源PlanningBench：评估LLM规划能力的可扩展框架

该框架包含30多个真实世界的规划任务，支持自动验证，并提供评估和训练支持。PlanningBench旨在帮助LLM从“说”转向“做”，即提升其实际规划与执行能力。

该框架已在arXiv发布论文，代码在GitHub开源，数据集在HuggingFace上可用。

Planning is where LLMs move from “saying” to “doing.” Tencent Hy, in collaboration with the Gaoling School of Artificial Intelligence at Renmin University of China, is excited to open-source PlanningBench - a scalable, verifiable framework for evaluating and training LLM planning capabilities. With PlanningBench, you get: ✅ 30+ real-world planning tasks ✅ Automated verification ✅ Evaluation and training support See how top-tier LLMs perform on PlanningBench 👇 Resources: arXiv: arxiv.org/abs/2605.20873 R GitHub: github.com/Tencent-Hunyua… B HuggingFace: huggingface.co/datasets/tence… x #PlanningBench h #TencentHunyuan n #OpenSource e 📷📊 3 ⚡

This report is categorized under AITOP's "Papers" desk, focusing on China's AI industry and domestic foundation model ecosystem. Within our cross-regional analytical framework, it directly maps to US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include 规划能力, 评估框架, 开源/仓库, 腾讯混元.

Source attribution: curated from Hunyuan (@TXhunyuan). Cross-source corroboration: 2 independent sources have covered this development (including berryxia), confirming industry-wide signal strength.