跳到正文

Introducing WorkForge: a scalable framework that constructs verifiable training environments for long-horizon work agents from real-world...

摘要

腾讯混元发布 WorkForge,一个从真实世界资源为长程工作智能体构建可验证训练环境的可扩展框架。该框架从专家工作流出发搭建真实工作空间、抽取可核查事实,并据此派生任务与程序化加语义的双重验证器;已扩展到覆盖 40 个专业领域、60 种文件类型的 16.7K 个环境,论文称随数据量和交互时长增加,长程工作基准上取得一致提升。

摘要由模型根据原文撰写,以原文为准。

正文 · 原文

Introducing WorkForge: a scalable framework that constructs verifiable training environments for long-horizon work agents from real-world resources.

Starting from expert workflows, it builds authentic workspaces, extracts checkable facts, and derives tasks plus dual (programmatic + semantic) verifiers grounded in observable evidence.

We scale to 16.7K environments across 40 professional domains covering 60 file types, enabling consistent gains on long-horizon work benchmarks as data volume and interaction horizon increase.

Paper: https://arxiv.org/pdf/2610.04906 @zhang_leo54389

#Tencent Hy#AIAgents #WorkAgents #AgentTraining

来源:腾讯混元 · x.com

引用原文

TencentHunyuan. Introducing WorkForge: a scalable framework that constructs verifiable training environments for long-horizon work agents from real-world...[EB/OL]. (2026-10-22)[访问日期]. https://x.com/TencentHunyuan/status/2113195029233811511.