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A human-centric perspective on interpretability in large language models
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作者 Zihan Zhou Minfeng Zhu Wei Chen 《Visual Informatics》 2025年第1期I0002-I0004,共3页
With the rapid advancement of natural language processing(NLP),large language models(LLMs)have demonstrated excep-tional performance across tasks(Xu et al.,2024;Lee et al.,2024;Tan et al.,2023)like machine translation... With the rapid advancement of natural language processing(NLP),large language models(LLMs)have demonstrated excep-tional performance across tasks(Xu et al.,2024;Lee et al.,2024;Tan et al.,2023)like machine translation,text summarization,and question-answering,significantly accelerating NLP research.Furthermore,LLMs have also facilitated advancements across di-verse fields.In robotics,for example,LLMs enhance the interpre-tation and translation of user voice commands,enabling precise planning and execution of robotic arm movements(Driess et al.,2023). 展开更多
关键词 large language models machine translation natural language processing human centric PERFORMANCE natural language processing nlp large language models llms INTERPRETABILITY machine translationtext summarizationand
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