Verifiable Social Reasoning for LLM Assistants

Fuse uses a multi-agent simulation framework to provide verifiable ground truth for social reasoning tasks. By embedding a target agent with hidden motives within a user-mediated interaction loop, the framework allows assistants to infer intent through subjective narratives. Human validation via 24k annotations supports the model's simulation faithfulness.