LLM-based Human Simulations Have Not Yet Been Reliable
顶级AI学者论文直指:基于大语言模型的人类模拟仍不可靠,结论值得关注。
arXiv:2501.08579v3 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly employed for simulating human behaviors across diver…
顶级AI学者论文直指:基于大语言模型的人类模拟仍不可靠,结论值得关注。
arXiv:2501.08579v3 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly employed for simulating human behaviors across diver…
用户稍不耐烦就崩溃?研究揭示AI智能体脆弱性,呼吁高仿真人类特质测试以提升鲁棒性。
arXiv:2510.04491v3 Announce Type: replace Abstract: Despite rapid progress in building conversational AI agents, robustness is still largely untested.…
心理学理论赋能大模型,诱导LLM展现类人价值行为,探索AI对齐新路径
arXiv:2605.30036v1 Announce Type: new Abstract: Large Language Models (LLMs) demonstrate a remarkable capacity to adopt different personas and roles; …
用语言反馈教大模型模拟人类行为,比代码数学更难但更具社会智能价值
arXiv:2605.20506v1 Announce Type: new Abstract: Humans learn social norms and behaviors from verbal feedback (e.g., a parent saying "that was rude" or…