--- title: "Maosong Sun — papers of 2023 — 5 papers, the most cited first" description: "Maosong Sun — 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/maosong-sun/year/2023/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/maosong-sun/year/2023/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Maosong Sun](https://md.research.elamur.ai/free/en/authors/maosong-sun/) / 2023 # Maosong Sun — papers of 2023 — 5 papers, the most cited first 5 papers · [all years of Maosong Sun](https://md.research.elamur.ai/free/en/authors/maosong-sun/#years) - [C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models arXiv:2305.08322](https://md.research.elamur.ai/free/en/papers/huang-2023-c-eval-multi-level-multi/) — Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, et al. · 2023 · 428 citations - [Enhancing Chat Language Models by Scaling High-quality Instructional Conversations arXiv:2305.14233](https://md.research.elamur.ai/free/en/papers/ding-2023-enhancing-chat-language-models-scaling/) — Ning Ding, Yulin Chen, Bokai Xu, et al. · 2023 · 402 citations **[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* **[Sub-Character Tokenization for Chinese Pretrained Language Models](https://md.research.elamur.ai/free/en/papers/si-2023-sub-character-tokenization-chinese-pretrained/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Chenglei Si, Zhengyan Zhang, Yingfa Chen, et al.*2023 · 29 citations* - [ConPET: Continual Parameter-Efficient Tuning for Large Language Models arXiv:2309.14763](https://md.research.elamur.ai/free/en/papers/song-2023-conpet-continual-parameter-efficient-tuning/) — Chenyang Song, Xu Han, Zheni Zeng, et al. · 2023 · 14 citations