❯ Tencent Hunyuan and Fudan introduce WorkForge with about 16,700 verifiable work environments

Practicing with real filesTencent Hunyuan and Fudan University researchers introduced WorkForge to build training environments for long-running work agents from real-world resources. The paper, first submitted October 4 and revised October 21, reports about 16,700 environments spanning 40 professional domains and 60 file types.

Tasks and scoring share the same evidenceThe framework starts with expert workflows, retrieves files and organizes them into workspaces. Checkable facts extracted from those files anchor task instructions, solution plans and verification. Programmatic checks assess deterministic requirements such as files and values; semantic verifiers use the same evidence to assess open-ended deliverables.

Expanding the supply of training environmentsIn the team’s post-training experiments, Qwen3.5-35B-A3B-Base improved from 45.5 to 73.6 on GDPVal and from 5.0 to 21.3 on APEX. These are research-team results. The approach aims to scale complex professional tasks while retaining realistic file dependencies and verifiable requirements, reducing the need to handcraft each environment.

▮ SIGNALTraining work agents requires both realistic tasks and evidence that connects source materials to the criteria used to score their deliverables.