Council of AI Performance Overview.

<div><p>The stochastic nature of next-token generation and resulting response variability in Large Language Models (LLMs) outputs pose challenges in ensuring consistency and accuracy on knowledge assessments. This study introduces a novel multi-agent framework, referred to as a “Council...

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Главный автор:	Yahya Shaikh (15275692) (author)
Другие авторы:	Zainab Asiyah Jeelani-Shaikh (22403506) (author), Muzamillah Mushtaq Jeelani (22403509) (author), Aamir Javaid (22403512) (author), Tauhid Mahmud (22403515) (author), Shiv Gaglani (18086392) (author), Michael Christopher Gibbons (15275698) (author), Minahil Cheema (22403518) (author), Amanda Cross (3499379) (author), Denisa Livingston (15275701) (author), Morgan Cheatham (14593713) (author), Elahe Nezami (22403521) (author), Ronald Dixon (7519016) (author), Ashwini Niranjan-Azadi (22403524) (author), Saad Zafar (8654436) (author), Zishan Siddiqui (22403527) (author)
Опубликовано:	2025
Предметы:	Biophysics Microbiology Genetics Neuroscience Ecology Science Policy Mental Health Environmental Sciences not elsewhere classified three exam stages supports adaptive reasoning outputs pose challenges independent medical practice zero &# 8212 large language models initial unanimous response council deliberations achieved resulting response variability enhance llm performance designated &# 8220 correct answer 83 step 2 ck council achieved consensus usmle </ p response variability &# 8220 response space ck )\; 4 models &# 8217 step 3 council model council deliberation council correcting council consists xlink "> token generation times higher study revealed study provides study introduces stochastic nature semantic entropy reach consensus questions across outperforming single outcome .. often considered novel multi multiple gpt majority vote knowledge assessments iteratively discuss instance gpt first evidence ensuring consistency collective rather collaborative refinement collaborative intelligence
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Council of AI Performance Overview.

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