--- title: "Meng Chen — author profile and papers — Elamur Research" description: "Meng Chen: 2 papers on Elamur Research (2024–2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/meng-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/meng-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Meng Chen # Meng Chen Meng Chen has 2 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Chen Chen](https://md.research.elamur.ai/free/en/authors/chen-chen/), [Chengruidong Zhang](https://md.research.elamur.ai/free/en/authors/chengruidong-zhang/), [Di Liu](https://md.research.elamur.ai/free/en/authors/di-liu/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5130364668) · [**h-index 0**](https://openalex.org/authors/A5130364668) · [1 works](https://openalex.org/works?filter=author.id:A5130364668) · [0 citations](https://openalex.org/works?filter=author.id:A5130364668&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/meng-chen/#papers) · [🔗 Cited 63 times in our library](https://md.research.elamur.ai/free/en/authors/meng-chen/cited-by/) · [⭐ Paper Stars ranking: #8630](https://md.research.elamur.ai/free/en/paper-stars/page/87/#star-8630) 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=Meng+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Meng+Chen) · [dblp](https://dblp.org/search?q=Meng+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Meng+Chen) ## 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).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/meng-chen/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/meng-chen/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval](https://md.research.elamur.ai/free/en/papers/liu-2024-retrievalattention-accelerating-long-context-llm/)** *(2024 · 66 citations)* Serving LLMs with very long contexts is expensive. Attention cost grows with sequence length, and the KV cache for Llama-3-8B reaches roughly 125GB at one million tokens, which no consumer GPU can hold. RetrievalAttention is a training-free method that exploits the fact that each decoding step depends strongly on… 2. **[PropGenie: A Multi-Agent Conversational Framework for Real Estate Assistance](https://md.research.elamur.ai/free/en/papers/shen-2026-propgenie-multi-agent-conversational-framework/)** *(2026)* PropGenie is an LLM-driven assistant for the Australian property market. It is built to handle the wide range of buyer questions, such as listings, mortgages, taxes and regulations, where wrong answers can be costly. The authors argue that a single agent fits this poorly. It lacks specialised skills, cannot… ## Co-authors here 8 co-authors with a page, the most papers together first. - [Chen Chen](https://md.research.elamur.ai/free/en/authors/chen-chen/) - [Chengruidong Zhang](https://md.research.elamur.ai/free/en/authors/chengruidong-zhang/) - [Di Liu](https://md.research.elamur.ai/free/en/authors/di-liu/) - [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/) - [Huiqiang Jiang](https://md.research.elamur.ai/free/en/authors/huiqiang-jiang/) - [Kai Zhang](https://md.research.elamur.ai/free/en/authors/kai-zhang/) - [Qi Chen](https://md.research.elamur.ai/free/en/authors/qi-chen/) - [Zhenhua Han](https://md.research.elamur.ai/free/en/authors/zhenhua-han/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) ## Cited by Papers of our library cite their works 63 times (of the 149,439 papers whose bibliographies we read); [7 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/meng-chen/cited-by/). Updated 2 November 2026