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Who cites «ExpertPrompting: Instructing Large Language Models to be Distinguished Experts»

73 papers of our library cite it (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · ← back to «ExpertPrompting: Instructing Large Language Models to be Distinguished Experts»

  1. Qwen Technical ReportarXiv:2309.16609Jinze Bai, Shuai Bai, Yunfei Chu, et al.2023 · 1,669 citations
  2. Aligning Large Language Models with Human: A SurveyarXiv:2307.12966Yufei Wang, Wanjun Zhong, Liangyou Li, et al.2023 · 202 citations
  3. Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-CollaborationarXiv:2307.05300Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, et al.2023 · 140 citations
  4. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
  5. AutoAgents: A Framework for Automatic Agent GenerationarXiv:2309.17288Guangyao Chen, Siwei Dong, Yu Shu, et al.2023 · 107 citations
  6. Automated Design of Agentic SystemsarXiv:2408.08435Shengran Hu, Cong Lu, Jeff Clune2024 · 89 citations
  7. Meta-Prompting: Enhancing Language Models with Task-Agnostic ScaffoldingarXiv:2401.12954Mirac Suzgun, Adam Tauman Kalai2024 · 62 citations
  8. Do LLMs Possess a Personality? Making the MBTI Test an Amazing Evaluation for Large Language ModelsarXiv:2307.16180Keyu Pan, Yawen Zeng2023 · 41 citations
  9. BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language ModelsarXiv:2309.06085Wei Qi Leong, Jian Gang Ngui, Yosephine Susanto, et al.2023 · 33 citations

55 more papers of our library cite it; they have no page here yet.

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