--- title: "Yoon Kim — papers" description: "Yoon Kim: 10 papers in the Elamur Research library (2014–2024) — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/authors/yoon-kim/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yoon-kim/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yoon Kim # Yoon Kim 10 papers on this site (2014–2024) [OpenAlex](https://openalex.org/A5100693798) · [ORCID](https://orcid.org/0000-0002-4837-8411) · h-index 37 · 315 works · 22866 citations (openalex-snapshot, 2026-10-14) Profile data from OpenAlex; authors with the same name are not always told apart. - [Data Engineering for Scaling Language Models to 128K Context](https://md.research.elamur.ai/free/en/papers/fu-2024-data-engineering-scaling-language-models/) — Yao Fu, Rameswar Panda, Xinyao Niu, et al. · 2024 - [DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models](https://md.research.elamur.ai/free/en/papers/chuang-2023-dola-decoding-contrasting-layers-improves/) — Yung-Sung Chuang, Yujia Xie, Hongyin Luo, et al. · 2023 - [DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/chuang-2022-diffcse-difference-based-contrastive-learning/) — Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, et al. · 2022 - [Large language models are few-shot clinical information extractors](https://md.research.elamur.ai/free/en/papers/agrawal-2022-large-language-models-are-few/) — Monica Agrawal, Stefan Hegselmann, Hunter Lang, et al. · 2022 - [Parameter-Efficient Transfer Learning with Diff Pruning](https://md.research.elamur.ai/free/en/papers/guo-2021-parameter-efficient-transfer-learning-diff/) — Demi Guo, Alexander Rush, Yoon Kim · 2021 - [OpenNMT: Open-Source Toolkit for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/klein-2017-opennmt-open-source-toolkit-neural/) — Guillaume Klein, Yoon Kim, Yuntian Deng, et al. · 2017 - [Sequence-Level Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/kim-2016-sequence-level-knowledge-distillation/) — Yoon Kim, Alexander M. Rush · 2016 - [Character-Aware Neural Language Models](https://md.research.elamur.ai/free/en/papers/kim-2015-character-aware-neural-language-models/) — Yoon Kim, Yacine Jernite, David Sontag, et al. · 2015 - [Convolutional Neural Networks for Sentence Classification](https://md.research.elamur.ai/free/en/papers/kim-2014-convolutional-neural-networks-sentence-classification/) — Yoon Kim · 2014 - [Temporal Analysis of Language through Neural Language Models](https://md.research.elamur.ai/free/en/papers/kim-2014-temporal-analysis-language-through-neural/) — Yoon Kim, Yi-I Chiu, Kentaro Hanaki, et al. · 2014