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Trustworthy evaluation of large language models
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作者 Xin-Yi ZHANG Han-Jia YE De-Chuan ZHAN 《Frontiers of Computer Science》 2026年第2期185-187,共3页
1Introduction Foundation models have achieved remarkable success in Artificial−Intelligence(AI),with Large Language Models(LLMs)standing out for their powerful natural language capabilities.As LLMs become integrated i... 1Introduction Foundation models have achieved remarkable success in Artificial−Intelligence(AI),with Large Language Models(LLMs)standing out for their powerful natural language capabilities.As LLMs become integrated into critical decision-making processes,ensuring their performance is effective,reliable,and aligned with ethical standards is crucial.This raises the paramount question of how to evaluate the trustworthiness of such models. 展开更多
关键词 natural language capabilitiesas large language models llms standing foundation models natural language capabilities artificial intelligence large language models trustworthiness evaluation decision making processes
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Driving High-Quality Growth
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作者 José Ignacio Martínez Cortés 《Beijing Review》 2026年第14期22-23,共2页
Over the past five decades,China has steadily strengthened its technological and economic capabilities.A key turning point came in December 1978,during the Third Plenum of the 11th Central Committee of the Communist P... Over the past five decades,China has steadily strengthened its technological and economic capabilities.A key turning point came in December 1978,during the Third Plenum of the 11th Central Committee of the Communist Party of China,when reform guidelines introduced by then leader Deng Xiaoping were adopted. 展开更多
关键词 technological economic capabilitiesa reform turning point Communist Party China reform guidelines growth technology economy
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