--- title: "Hongyin Luo — author profile and papers" description: "Hongyin Luo, MIT Computer Science and Artificial Intelligence Laboratory: 2 papers on Elamur Research (2022–2023), h-index 11 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/hongyin-luo/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hongyin-luo/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hongyin Luo # Hongyin Luo Hongyin Luo has 2 papers in our library, in 2022–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [James Glass](https://md.research.elamur.ai/free/en/authors/james-glass/), [Yoon Kim](https://md.research.elamur.ai/free/en/authors/yoon-kim/), [Yung-Sung Chuang](https://md.research.elamur.ai/free/en/authors/yung-sung-chuang/). 2 papers in our library · 2022–2023 current affiliation [MIT Computer Science and Artificial Intelligence Laboratory](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/), Cambridge, United States; [Massachusetts Institute of Technology](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/), Cambridge, United States [OpenAlex](https://openalex.org/A5024338348) · [**h-index 11**](https://openalex.org/authors/A5024338348) · [83 works](https://openalex.org/works?filter=author.id:A5024338348) · [603 citations](https://openalex.org/works?filter=author.id:A5024338348&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [2 works in our library](https://md.research.elamur.ai/free/en/authors/hongyin-luo/#papers) · [478 citations in our library](https://md.research.elamur.ai/free/en/authors/hongyin-luo/cited-by/) · 3 more works in our library · [⭐ Paper Star rank #2883](https://md.research.elamur.ai/free/en/paper-stars/page/29/#star-2883) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Hongyin+Luo) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hongyin+Luo) · [dblp](https://dblp.org/search?q=Hongyin+Luo) · [ACL Anthology](https://aclanthology.org/search/?q=Hongyin+Luo) ## Affiliations - [Massachusetts Institute of Technology](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · Cambridge, United States —current · 2017–2026 on 39 papers - [MIT Computer Science and Artificial Intelligence Laboratory](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/) · Cambridge, United States —current · 2017–2026 on 20 papers - [IBM (United States)](https://md.research.elamur.ai/free/en/companies/ibm/) · Armonk, United States —2022 on 2 papers - [Tsinghua University](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · Beijing, China —2015–2016 on 2 papers From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed. ## Topics [Language models & pretraining 1](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2023** 1 paper](https://md.research.elamur.ai/free/en/papers/chuang-2023-dola-decoding-contrasting-layers-improves/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/papers/chuang-2022-diffcse-difference-based-contrastive-learning/) ## Papers The most cited first (OpenAlex and our library). 1. **[DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/chuang-2022-diffcse-difference-based-contrastive-learning/)** *(2022 · 269 citations)* Unsupervised sentence embedding methods such as SimCSE train an encoder so that two dropout-perturbed copies of a sentence stay close together. 2. **[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/)** *(2023 · 261 citations)* Large language models often produce statements that conflict with facts they saw during pretraining, which limits their use in high-stakes domains. ## Also in our library 3 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 7 co-authors with a page, the most papers together first. - [James Glass](https://md.research.elamur.ai/free/en/authors/james-glass/) ×2 - [Yoon Kim](https://md.research.elamur.ai/free/en/authors/yoon-kim/) ×2 - [Yung-Sung Chuang](https://md.research.elamur.ai/free/en/authors/yung-sung-chuang/) ×2 - [Pengcheng He](https://md.research.elamur.ai/free/en/authors/pengcheng-he/) - [Scott Yih](https://md.research.elamur.ai/free/en/authors/scott-yih/) - [Yang Zhang](https://md.research.elamur.ai/free/en/authors/yang-zhang/) - [Yujia Xie](https://md.research.elamur.ai/free/en/authors/yujia-xie/) ## Cited by Papers of our library cite their works 478 times (of the 140 884 papers whose bibliographies we read); [21 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hongyin-luo/cited-by/).