--- title: "Gang Chen — author profile and papers" description: "Gang Chen, Zhejiang University: 2 papers on Elamur Research (2024), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/gang-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/gang-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Gang Chen # Gang Chen 2 papers on this site · 2024 current affiliation [Zhejiang University](https://md.research.elamur.ai/free/en/universities/zhejiang-university/), Hangzhou, China Gang Chen has 2 papers on this site, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Jue Wang](https://md.research.elamur.ai/free/en/authors/jue-wang/), [Jun Zhang](https://md.research.elamur.ai/free/en/authors/jun-zhang/), [Junbo Zhao](https://md.research.elamur.ai/free/en/authors/junbo-zhao/). [OpenAlex](https://openalex.org/A5102346670) · [**h-index 1**](https://openalex.org/authors/A5102346670) · [4 works](https://openalex.org/works?filter=author.id:A5102346670) · [122 citations](https://openalex.org/works?filter=author.id:A5102346670&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [2 works on this site](https://md.research.elamur.ai/free/en/authors/gang-chen/#papers) · [219 citations in our library](https://md.research.elamur.ai/free/en/authors/gang-chen/cited-by/) 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=Gang+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Gang+Chen) · [dblp](https://dblp.org/search?q=Gang+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Gang+Chen) ## Affiliations - [Zhejiang University](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · Hangzhou, China —current · 2024–2026 on 3 papers From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Topics [Language models & pretraining 2](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks 1](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/gang-chen/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey](https://md.research.elamur.ai/free/en/papers/long-2024-llms-driven-synthetic-data-generation/)** *(2024 · 236 citations)* Building strong NLP models depends on large amounts of diverse, well-labelled data. Collecting such data from people is expensive, sometimes impossible because of scarcity or privacy, and still prone to bias and error. LLMs can produce fluent text and follow instructions closely, which makes them attractive data… 2. **[Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding](https://md.research.elamur.ai/free/en/papers/zhang-2024-draft-verify-lossless-large-language/)** *(2024 · 146 citations)* Autoregressive generation in large language models is slow. Each new token needs a full, memory-bandwidth-bound pass through the network. Speculative decoding can help, but it usually depends on a separate draft model, which costs extra GPU memory and is hard to obtain for fine-tuned models such as LLaMA-2-Chat or… ## Co-authors here 4 co-authors with a page, the most papers together first. - [Jue Wang](https://md.research.elamur.ai/free/en/authors/jue-wang/) - [Jun Zhang](https://md.research.elamur.ai/free/en/authors/jun-zhang/) - [Junbo Zhao](https://md.research.elamur.ai/free/en/authors/junbo-zhao/) - [Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/) ## Cited by Papers of our library cite their works 219 times (of the 140 884 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/gang-chen/cited-by/).