---
title: "Joel Jang — papers of 2023 — 4 papers, the most cited first"
description: "Joel Jang — papers of 2023: 4 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Joel Jang — papers of 2023 — 4 papers, the most cited first

4 papers · [all years of Joel Jang](https://md.research.elamur.ai/free/en/authors/joel-jang/#years)

- [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
- [Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2 arXiv:2311.10702](https://md.research.elamur.ai/free/en/papers/ivison-2023-camels-changing-climate-enhancing-lm/) — Hamish Ivison, Yizhong Wang, Valentina Pyatkin, et al. · 2023 · 207 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*

- [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