--- title: "Peng Li — papers of 2023 — 5 papers, the most cited first" description: "Peng Li — papers of 2023: 5 papers on Elamur Research, the most cited first — what each work is about in our own words." canonical: "https://research.elamur.ai/free/en/authors/peng-li/year/2023/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/peng-li/year/2023/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Peng Li](https://md.research.elamur.ai/free/en/authors/peng-li/) / 2023 # Peng Li — papers of 2023 — 5 papers, the most cited first 5 papers · [all years of Peng Li](https://md.research.elamur.ai/free/en/authors/peng-li/#years) **[Self-Knowledge Guided Retrieval Augmentation for Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2023-self-knowledge-guided-retrieval-augmentation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yile Wang, Peng Li, Maosong Sun, et al.*2023 · 135 citations* - [A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration arXiv:2310.02170](https://md.research.elamur.ai/free/en/papers/liu-2023-dynamic-llm-powered-agent-network/) — Zijun Liu, Yanzhe Zhang, Peng Li, et al. · 2023 · 114 citations **[CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors](https://md.research.elamur.ai/free/en/papers/li-2023-codeie-large-code-generation-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peng Li, Tianxiang Sun, Qiong Tang, et al.*2023 · 109 citations* - [Evaluating the Performance of Large Language Models on GAOKAO Benchmark arXiv:2305.12474](https://md.research.elamur.ai/free/en/papers/zhang-2023-evaluating-performance-large-language/) — Xiaotian Zhang, Chunyang Li, Yi Zong, et al. · 2023 · 109 citations - [Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf arXiv:2309.04658](https://md.research.elamur.ai/free/en/papers/xu-2023-exploring-large-language-models-communication/) — Yuzhuang Xu, Shuo Wang, Peng Li, et al. · 2023 · 97 citations