--- title: "Minjoon Seo — papers of 2023 — 5 papers, the most cited first" description: "Minjoon Seo — 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/minjoon-seo/year/2023/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/minjoon-seo/year/2023/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Minjoon Seo](https://md.research.elamur.ai/free/en/authors/minjoon-seo/) / 2023 # Minjoon Seo — papers of 2023 — 5 papers, the most cited first 5 papers · [all years of Minjoon Seo](https://md.research.elamur.ai/free/en/authors/minjoon-seo/#years) - [REPLUG: Retrieval-Augmented Black-Box Language Models arXiv:2301.12652](https://md.research.elamur.ai/free/en/papers/shi-2023-replug-retrieval-augmented-black-box/) — Weijia Shi, Sewon Min, Michihiro Yasunaga, et al. · 2023 · 492 citations - [Prometheus: Inducing Fine-grained Evaluation Capability in Language Models arXiv:2310.08491](https://md.research.elamur.ai/free/en/papers/kim-2023-prometheus-inducing-fine-grained-evaluation/) — Seungone Kim, Jamin Shin, Yejin Cho, et al. · 2023 · 281 citations **[The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning](https://md.research.elamur.ai/free/en/papers/kim-2023-cot-collection-improving-zero-shot/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Seungone Kim, Se Joo, Doyoung Kim, et al.*2023 · 118 citations* - [FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets arXiv:2307.10928](https://md.research.elamur.ai/free/en/papers/ye-2023-flask-fine-grained-language-model/) — Seonghyeon Ye, Doyoung Kim, Sungdong Kim, et al. · 2023 · 100 citations - [Exploring the Benefits of Training Expert Language Models over Instruction Tuning arXiv:2302.03202](https://md.research.elamur.ai/free/en/papers/jang-2023-exploring-benefits-training-expert-language/) — Joel Jang, Seungone Kim, Seonghyeon Ye, et al. · 2023 · 63 citations