--- title: "Sijie Cheng · Tsinghua University — author profile and papers" description: "Sijie Cheng, Tsinghua University: 2 papers on Elamur Research (2023–2026), h-index 0 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/sijie-cheng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sijie-cheng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Sijie Cheng # Sijie Cheng Sijie Cheng has 2 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Guan Wang](https://md.research.elamur.ai/free/en/authors/guan-wang/), [Hui Huang](https://md.research.elamur.ai/free/en/authors/hui-huang/), [Weiqin Wang](https://md.research.elamur.ai/free/en/authors/weiqin-wang/). 2 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5139760923) · [**h-index 0**](https://openalex.org/authors/A5139760923) · [4 works](https://openalex.org/works?filter=author.id:A5139760923) · [0 citations](https://openalex.org/works?filter=author.id:A5139760923&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/sijie-cheng/#papers) · [🔗 Cited 147 times in our library](https://md.research.elamur.ai/free/en/authors/sijie-cheng/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5931](https://md.research.elamur.ai/free/en/paper-stars/page/60/#star-5931) 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=Sijie+Cheng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sijie+Cheng) · [dblp](https://dblp.org/search?q=Sijie+Cheng) · [ACL Anthology](https://aclanthology.org/search/?q=Sijie+Cheng) ## Affiliations [🎓**Tsinghua University** Beijing · China 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/sijie-cheng/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/sijie-cheng/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[OpenChat: Advancing Open-source Language Models with Mixed-Quality Data](https://md.research.elamur.ai/free/en/papers/wang-2023-openchat-advancing-open-source-language/)** *(2023 · 174 citations)* Open-source chat models are usually tuned on conversation collections in which a few strong examples are mixed with many weaker ones. 2. **[AnchorMem: Anchored Facts with Associative Contexts for Building Memory in Large Language Models](https://md.research.elamur.ai/free/en/papers/shen-2026-anchormem-anchored-facts-associative-contexts/)** *(2026)* LLM memory systems such as A-Mem and Mem0 repeatedly summarize and rewrite past interactions. This can wash out fine details. Entity-graph indexing, as in HippoRAG 2, can instead link unrelated memories through common, generic entities. AnchorMem addresses both problems by separating what is used for retrieval from… ## All works 3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. [**OpenChat: Advancing Open-source Language Models with Mixed-Quality Data arXiv:2309.11235**Guan Wang, Sijie Cheng, Xianyuan Zhan, et al.*2023 · 174 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-openchat-advancing-open-source-language/) 2. **[AnchorMem: Anchored Facts with Associative Contexts for Building Memory in Large Language Models](https://md.research.elamur.ai/free/en/papers/shen-2026-anchormem-anchored-facts-associative-contexts/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhanyu Shen, Sijie Cheng, Zhicheng Guo, et al.*2026* 3. **[Evaluating Memory Capability in Continuous Lifelog Scenario ↗](https://aclanthology.org/2026.findings-acl.351/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Jianjie Zheng et al.*2026* ## Co-authors here 7 co-authors with a page, the most papers together first. - [Guan Wang](https://md.research.elamur.ai/free/en/authors/guan-wang/) - [Hui Huang](https://md.research.elamur.ai/free/en/authors/hui-huang/) - [Weiqin Wang](https://md.research.elamur.ai/free/en/authors/weiqin-wang/) - [Xiangang Li](https://md.research.elamur.ai/free/en/authors/xiangang-li/) - [Yang Liu](https://md.research.elamur.ai/free/en/authors/yang-liu/) - [Yile Wang](https://md.research.elamur.ai/free/en/authors/yile-wang/) - [Zhicheng Guo](https://md.research.elamur.ai/free/en/authors/zhicheng-guo/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - Findings of the Association for Computational Linguistics: ACL 2026 ## Cited by Papers of our library cite their works 147 times (of the 149,439 papers whose bibliographies we read); [22 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sijie-cheng/cited-by/). Updated 1 November 2026