--- title: "Daniel Egert — author profile and papers — Elamur Research" description: "Daniel Egert: 2 papers on Elamur Research (2024), h-index 4 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/daniel-egert/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/daniel-egert/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Daniel Egert # Daniel Egert Daniel Egert has 2 papers in our library, in 2024; often with [Jiaqi Zeng](https://md.research.elamur.ai/free/en/authors/jiaqi-zeng/), [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/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5093285949) · [**h-index 4**](https://openalex.org/authors/A5093285949) · [14 works](https://openalex.org/works?filter=author.id:A5093285949) · [24 citations](https://openalex.org/works?filter=author.id:A5093285949&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/daniel-egert/#papers) · [🔗 Cited 303 times in our library](https://md.research.elamur.ai/free/en/authors/daniel-egert/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7041](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7041) 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=Daniel+Egert) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Daniel+Egert) · [dblp](https://dblp.org/search?q=Daniel+Egert) · [ACL Anthology](https://aclanthology.org/search/?q=Daniel+Egert) ## 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) ## Works by year ### 2020s [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/daniel-egert/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. **[HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM](https://md.research.elamur.ai/free/en/papers/wang-2024-helpsteer-multi-attribute-helpfulness-dataset/)** *(2024 · 72 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… ## All works 3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. [**HelpSteer2: Open-source dataset for training top-performing reward models arXiv:2406.08673**Zhilin Wang, Yi Dong, Olivier Delalleau, et al.*2024 · 82 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-helpsteer2-open-source-dataset-training/) 2. **[HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM](https://md.research.elamur.ai/free/en/papers/wang-2024-helpsteer-multi-attribute-helpfulness-dataset/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Zhilin Wang, Yi Dong, Jiaqi Zeng, et al.*2024 · 72 citations* 3. **[HelpSteer2-Preference: Complementing Ratings with Preferences ↗](https://arxiv.org/abs/2410.01257) arXiv:2410.01257 · no summary yet**Zhilin Wang et al.*2024 · 57 citations* ## Co-authors here 10 co-authors with a page, the most papers together first. - [Jiaqi Zeng](https://md.research.elamur.ai/free/en/authors/jiaqi-zeng/) ×2 - [Makesh Narsimhan Sreedhar](https://md.research.elamur.ai/free/en/authors/makesh-narsimhan-sreedhar/) ×2 - [Oleksii Kuchaiev](https://md.research.elamur.ai/free/en/authors/oleksii-kuchaiev/) ×2 - [Olivier Delalleau](https://md.research.elamur.ai/free/en/authors/olivier-delalleau/) ×2 - [Yi Dong](https://md.research.elamur.ai/free/en/authors/yi-dong/) ×2 - [Zhilin Wang](https://md.research.elamur.ai/free/en/authors/zhilin-wang/) ×2 - [Aidan Swope](https://md.research.elamur.ai/free/en/authors/aidan-swope/) - [Gerald Shen](https://md.research.elamur.ai/free/en/authors/gerald-shen/) - [Neel Kant](https://md.research.elamur.ai/free/en/authors/neel-kant/) - [Virginia Adams](https://md.research.elamur.ai/free/en/authors/virginia-adams/) ## 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/) ## Cited by Papers of our library cite their works 303 times (of the 149,439 papers whose bibliographies we read); [81 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/daniel-egert/cited-by/). Updated 2 November 2026