--- title: "Yuan Cao — papers and cards" description: "Yuan Cao: 2 paper cards in the Research library (2019–2021), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/yuan-cao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuan-cao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yuan Cao # Yuan Cao 2 paper cards in the Research library · 2019–2021 Yuan Cao wrote 2 of the papers Mova reads, in 2019–2021, most of them on [Akkadian and cuneiform NLP](https://md.research.elamur.ai/free/en/topics/akkadian-cuneiform-nlp/); often with [Jiaming Luo](https://md.research.elamur.ai/free/en/authors/jiaming-luo/), [Regina Barzilay](https://md.research.elamur.ai/free/en/authors/regina-barzilay/), [Enrico Santus](https://md.research.elamur.ai/free/en/authors/enrico-santus/). [OpenAlex](https://openalex.org/A5101989491) · [ORCID](https://orcid.org/0000-0002-2495-4701) · [**h-index 28**](https://openalex.org/authors/A5101989491) · [9158 citations](https://openalex.org/authors/A5101989491) · [84 works](https://openalex.org/works?filter=author.id:A5101989491) — openalex-snapshot, 2026-10-14 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=Yuan+Cao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuan+Cao) · [dblp](https://dblp.org/search?q=Yuan+Cao) · [ACL Anthology](https://aclanthology.org/search/?q=Yuan+Cao) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Yuan+Cao) Topics: [Akkadian and cuneiform NLP](https://md.research.elamur.ai/free/en/topics/akkadian-cuneiform-nlp/) 1 ## Papers 1. **[Deciphering Undersegmented Ancient Scripts Using Phonetic Prior](https://md.research.elamur.ai/free/en/papers/tacl-2021-luo-deciphering-undersegmented-ancient-scripts-phonetic/)** *(2021)* The paper asks how to match an unsegmented or undersegmented script against the vocabulary of a known language when the language family of the lost script is not known. 2. **[Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B](https://md.research.elamur.ai/free/en/papers/acl-2019-luo-neural-decipherment-minimum-cost-flow/)** *(2019)* The paper deciphers a lost language without parallel text: the words of the lost language are aligned with cognates in a known, related language. ## Co-authors (4) - [Jiaming Luo](https://md.research.elamur.ai/free/en/authors/jiaming-luo/) ×2 - [Regina Barzilay](https://md.research.elamur.ai/free/en/authors/regina-barzilay/) ×2 - [Enrico Santus](https://md.research.elamur.ai/free/en/authors/enrico-santus/) - Frederik Hartmann ## More papers in the library (3) Pages of the Research library: our summary, the ideas, references and who cites each. - [ReAct: Synergizing Reasoning and Acting in Language Models](https://md.research.elamur.ai/free/en/papers/yao-2022-react-synergizing-reasoning-acting-language/) — Shunyu Yao, Jeffrey Zhao, Dian Yu, et al. · 2022 - [SimVLM: Simple Visual Language Model Pretraining with Weak Supervision](https://md.research.elamur.ai/free/en/papers/wang-2021-simvlm-simple-visual-language-model/) — Zirui Wang, Jiahui Yu, Adams Wei Yu, et al. · 2021 - [Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges](https://md.research.elamur.ai/free/en/papers/arivazhagan-2019-massively-multilingual-neural-machine-translation/) — Naveen Arivazhagan, Ankur Bapna, Orhan Firat, et al. · 2019