--- title: "Sisong Bei — author profile and papers — Elamur Research" description: "Sisong Bei, Amazon: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/sisong-bei/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sisong-bei/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Sisong Bei # Sisong Bei Sisong Bei has 2 papers in our library, in 2026, most of them on [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Bingsheng Yao](https://md.research.elamur.ai/free/en/authors/bingsheng-yao/), [Dakuo Wang](https://md.research.elamur.ai/free/en/authors/dakuo-wang/), [Jing Huang](https://md.research.elamur.ai/free/en/authors/jing-huang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5120050517) · [ORCID](https://orcid.org/0009-0008-8379-8535) · [**h-index 1**](https://openalex.org/authors/A5120050517) · [12 works](https://openalex.org/works?filter=author.id:A5120050517) · [1 citations](https://openalex.org/works?filter=author.id:A5120050517&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/sisong-bei/#papers) · [🔗 Cited 2 times in our library](https://md.research.elamur.ai/free/en/authors/sisong-bei/cited-by/) · [⭐ Paper Stars ranking: #12609](https://md.research.elamur.ai/free/en/paper-stars/page/127/#star-12609) 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=Sisong+Bei) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sisong+Bei) · [dblp](https://dblp.org/search?q=Sisong+Bei) · [ACL Anthology](https://aclanthology.org/search/?q=Sisong+Bei) ## Affiliations [🏢**Palo Alto Networks** Santa Clara · United States 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/palo-alto-networks/) · [🏢**Amazon** Seattle · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/amazon/) 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.[English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/sisong-bei/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Can LLM Agents Simulate Multi-Turn Human Behavior? Evidence from Real Online Customer Behavior Data](https://md.research.elamur.ai/free/en/papers/lu-2026-can-llm-agents-simulate-multi/)** *(2026 · 2 citations)* Studies of LLM agents that imitate people have mostly asked whether their behavior looks believable to human judges. 2. **[Telegraph English: Semantic Prompt Compression via Structured Symbolic Rewriting](https://md.research.elamur.ai/free/en/papers/arbuzov-2026-telegraph-english-semantic-prompt-compression/)** *(2026)* Prompt compression usually works by deleting tokens. LLMLingua-2, for example, trains a classifier to remove low-importance tokens at a fixed ratio. That approach can break coreference and logical links, and it leaves no structure behind. The authors propose Telegraph English (TE), an LLM-driven rewrite of a passage… ## Co-authors here 7 co-authors with a page, the most papers together first. - [Bingsheng Yao](https://md.research.elamur.ai/free/en/authors/bingsheng-yao/) - [Dakuo Wang](https://md.research.elamur.ai/free/en/authors/dakuo-wang/) - [Jing Huang](https://md.research.elamur.ai/free/en/authors/jing-huang/) - [Qi He](https://md.research.elamur.ai/free/en/authors/qi-he/) - [Yisi Sang](https://md.research.elamur.ai/free/en/authors/yisi-sang/) - [Yuxuan Lu](https://md.research.elamur.ai/free/en/authors/yuxuan-lu/) - [Ziwei Dong](https://md.research.elamur.ai/free/en/authors/ziwei-dong/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ## Cited by Papers of our library cite their works 2 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/sisong-bei/cited-by/). Updated 31 October 2026