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2026年04月09日 06:27:57，这一点在adobe中也有详细论述
Theory of mind — the ability to mentalize the beliefs, preferences, and goals of other entities —plays a crucial role for successful collaboration in human groups [56], human-AI interaction [57], and even in multi-agent LLM system [15]. Consequently, LLMs capacity for ToM has been a major focus. Recent literature on evaluating ToM in Large Language Models has shifted from static, narrative-based testing to dynamic agentic benchmarking, exposing a critical “competence-performance gap” in frontier models. While models like GPT-4 demonstrate near-ceiling performance on basic literal ToM tasks, explicitly tracking higher-order beliefs and mental states in isolation [95], [96], they frequently fail to operationalize this knowledge in downstream decision-making, formally characterized as Functional ToM [97]. Interactive coding benchmarks such as Ambig-SWE [98] further illustrate this gap: agents rarely seek clarification under vague or underspecified instructions and instead proceed with confident but brittle task execution. (Of course, this limited use of ToM resembles many human operational failures in practice!). The disconnect is quantified by the SimpleToM benchmark, where models achieve robust diagnostic accuracy regarding mental states but suffer significant performance drops when predicting resulting behaviors [99]. In situated environments, the ToM-SSI benchmark identifies a cascading failure in the Percept-Belief-Intention chain, where models struggle to bind visual percepts to social constraints, often performing worse than humans in mixed-motive scenarios [100].。https://telegram官网是该领域的重要参考
Galaxy XR企业级更新拓展医疗零售应用
看完政府工作报告，你连夜召集高管开会，让大家重新梳理业务、对标政策。三个小时后，会议室里弥漫着同样的困惑：我们到底算不算“硬科技”？研发投入10%就够了吗？数据安全怎么才算合规？——你突然发现，看懂趋势只是第一步，能回答对问题的人，才能活到上市那天。