--- title: "Virginia Adams — author profile and papers — Elamur Research" description: "Virginia Adams: 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/virginia-adams/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/virginia-adams/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Virginia Adams # Virginia Adams Virginia Adams 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/); often with [Aidan Swope](https://md.research.elamur.ai/free/en/authors/aidan-swope/), [Anton Alexandrov](https://md.research.elamur.ai/free/en/authors/anton-alexandrov/), [Ben Athiwaratkun](https://md.research.elamur.ai/free/en/authors/ben-athiwaratkun/). 2 papers in our library · 2024 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/virginia-adams/#papers) · [🔗 Cited 277 times in our library](https://md.research.elamur.ai/free/en/authors/virginia-adams/cited-by/) · [⭐ Paper Stars ranking: #4122](https://md.research.elamur.ai/free/en/paper-stars/page/42/#star-4122) 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=Virginia+Adams) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Virginia+Adams) · [dblp](https://dblp.org/search?q=Virginia+Adams) · [ACL Anthology](https://aclanthology.org/search/?q=Virginia+Adams) ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 6 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/) · [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 · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 2 papers Virginia Adams's papers of 2024](https://md.research.elamur.ai/free/en/authors/virginia-adams/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[RedPajama: an Open Dataset for Training Large Language Models](https://md.research.elamur.ai/free/en/papers/weber-2024-redpajama-open-dataset-training-large/)** *(2024 · 247 citations)* Many leading LLMs are trained on data whose sources and cleaning steps are never disclosed. This makes open research on pretraining corpora slow and hard to replicate. The authors respond with two public releases. RedPajama-V1 rebuilds the LLaMA-1 training mixture from its brief published description and records… 2. **[HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM](https://md.research.elamur.ai/free/en/papers/wang-2024-helpsteer-multi-attribute-helpfulness-dataset/)** *(2024 · 69 citations)* Open helpfulness preference datasets usually give only an overall rating or a pairwise ranking. They do not say why one answer is better, so trained models can pick up shallow cues, such as preferring longer replies whether or not they are useful. The NVIDIA team built HelpSteer to address this. It is a… ## Co-authors here 11 co-authors with a page, the most papers together first. - [Aidan Swope](https://md.research.elamur.ai/free/en/authors/aidan-swope/) - [Anton Alexandrov](https://md.research.elamur.ai/free/en/authors/anton-alexandrov/) - [Ben Athiwaratkun](https://md.research.elamur.ai/free/en/authors/ben-athiwaratkun/) - [Daniel Fu](https://md.research.elamur.ai/free/en/authors/daniel-fu/) - [Huu Nguyen](https://md.research.elamur.ai/free/en/authors/huu-nguyen/) - [Jiaqi Zeng](https://md.research.elamur.ai/free/en/authors/jiaqi-zeng/) - [Neel Kant](https://md.research.elamur.ai/free/en/authors/neel-kant/) - [Quentin Anthony](https://md.research.elamur.ai/free/en/authors/quentin-anthony/) - [Rahul Chalamala](https://md.research.elamur.ai/free/en/authors/rahul-chalamala/) - [Yonatan Oren](https://md.research.elamur.ai/free/en/authors/yonatan-oren/) - [Zhilin Wang](https://md.research.elamur.ai/free/en/authors/zhilin-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2024](https://md.research.elamur.ai/free/en/venues/naacl/2024/) - [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 277 times (of the 141,840 papers whose bibliographies we read); [23 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/virginia-adams/cited-by/). Updated 24 October 2026