--- title: "Gerald Shen — author profile and papers — Elamur Research" description: "Gerald Shen: 2 papers on Elamur Research (2024) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/gerald-shen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/gerald-shen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Gerald Shen # Gerald Shen Gerald Shen has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Jiaqi Zeng](https://md.research.elamur.ai/free/en/authors/jiaqi-zeng/), [Ameya Sunil Mahabaleshwarkar](https://md.research.elamur.ai/free/en/authors/ameya-sunil-mahabaleshwarkar/), [Daniel Egert](https://md.research.elamur.ai/free/en/authors/daniel-egert/). 2 papers in our library · 2024 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/gerald-shen/#papers) · [🔗 Cited 123 times in our library](https://md.research.elamur.ai/free/en/authors/gerald-shen/cited-by/) · [⭐ Paper Stars ranking: #7483](https://md.research.elamur.ai/free/en/paper-stars/page/75/#star-7483) 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=Gerald+Shen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Gerald+Shen) · [dblp](https://dblp.org/search?q=Gerald+Shen) · [ACL Anthology](https://aclanthology.org/search/?q=Gerald+Shen) ## 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 · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/gerald-shen/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[HelpSteer2: Open-source dataset for training top-performing reward models](https://md.research.elamur.ai/free/en/papers/wang-2024-helpsteer2-open-source-dataset-training/)** *(2024 · 82 citations)* Reward models that steer LLMs toward human-preferred outputs need good preference data. Openly licensed collections such as HH-RLHF, Open Assistant and HelpSteer have aged, and sets distilled from GPT-4 and similar proprietary systems carry commercial-use restrictions. The NVIDIA authors address this gap with… 2. **[LLM Pruning and Distillation in Practice: The Minitron Approach](https://md.research.elamur.ai/free/en/papers/sreenivas-2024-llm-pruning-distillation-practice-minitron/)** *(2024 · 44 citations)* Minitron-style compression trains only the largest model in a family and derives smaller ones by structured pruning followed by knowledge distillation. ## Co-authors here 12 co-authors with a page, the most papers together first. - [Jiaqi Zeng](https://md.research.elamur.ai/free/en/authors/jiaqi-zeng/) ×2 - [Ameya Sunil Mahabaleshwarkar](https://md.research.elamur.ai/free/en/authors/ameya-sunil-mahabaleshwarkar/) - [Daniel Egert](https://md.research.elamur.ai/free/en/authors/daniel-egert/) - [Makesh Narsimhan Sreedhar](https://md.research.elamur.ai/free/en/authors/makesh-narsimhan-sreedhar/) - [Oleksii Kuchaiev](https://md.research.elamur.ai/free/en/authors/oleksii-kuchaiev/) - [Olivier Delalleau](https://md.research.elamur.ai/free/en/authors/olivier-delalleau/) - [Saurav Muralidharan](https://md.research.elamur.ai/free/en/authors/saurav-muralidharan/) - [Shizhe Diao](https://md.research.elamur.ai/free/en/authors/shizhe-diao/) - [Yi Dong](https://md.research.elamur.ai/free/en/authors/yi-dong/) - [Yoshi Suhara](https://md.research.elamur.ai/free/en/authors/yoshi-suhara/) - [Zhilin Wang](https://md.research.elamur.ai/free/en/authors/zhilin-wang/) - [Zijia Chen](https://md.research.elamur.ai/free/en/authors/zijia-chen/) ## Cited by Papers of our library cite their works 123 times (of the 149,439 papers whose bibliographies we read); [44 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/gerald-shen/cited-by/). Updated 2 November 2026