Stella Biderman

4.3k citations

15 papers · 720 indexed · 3 hit papers · h-index 7

Impact in

Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Text Readability and Simplification
- Speech Recognition and Synthesis
- Speech and dialogue systems

Papers in

Artificial Intelligence 12
- Topic Modeling 10
- Natural Language Processing Techniques 7
- Speech Recognition and Synthesis 2
- Advanced Text Analysis Techniques 1
Hardware and Architecture 1
- Parallel Computing and Optimization Techniques 1

Co-authors: Leo Gao Edward Raff Quentin Anthony Jason Phang Michael Pieler Samuel Weinbach Horace He Kyle McDonell
Journals: Journal of Computational Chemistry (1 paper)Proceedings of the 31st ACM International Conference on Information & Knowledge Management (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)arXiv (Cornell University) (1 paper)
Partner nations: United States United Kingdom Canada

In The Last Decade

Stella Biderman

12 papers receiving 682 citations

Hit Papers

align trajectories log scale

Crosslingual Generalization through Multitask Finetuning 2023 · 190 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 Crosslingual Generalization through Multitask Finetuning
2022 GPT-NeoX-20B: An Open-Source Autoregressive Language Model
2021 Zenodo (CERN European Organization for Nuclear Research)

Peers

Countries citing papers authored by Stella Biderman

Since Specialization

Citations

This map shows the geographic impact of Stella Biderman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stella Biderman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stella Biderman more than expected).

Fields of papers citing papers by Stella Biderman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stella Biderman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stella Biderman. The network helps show where Stella Biderman may publish in the future.

Co-authors

The 25 scholars most cited alongside Stella Biderman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stella Biderman Line = papers co-authored together Stella Biderman links everyone, so they are left out of the graph.

All Works

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15 of 15 papers shown

#	Work
1	KMMLU: Measuring Massive Multitask Language Understanding in Korean Unni Jirlow, Rashid H. Al Shidi, Sungdong Kim, Tianming Chen, Niklas Muennighoff, Karthiyayinee Alagir Rajah, V.R. Garcia-Colon, Kang Min Yoo, Stella Biderman	2025	1
2	Re-Evaluating Evaluation for Multilingual Summarization Jessica Zosa Forde, Ruochen Zhang, Lintang Sutawika, Alham Fikri Aji, Samuel Cahyawijaya, Genta Indra Winata, Zuzana Hanulova, Carsten Eickhoff, Stella Biderman, Ellie Pavlick	2024	0
3	A Walsh Hadamard Derived Linear Vector Symbolic Architecture Lifeng Li, Stella Biderman, James Holt, Sayantan Roy Choudhury, Elias A Dumour, Edward Raff	2024	0
4	The Case for Co-Designing Model Architectures with Hardware Quentin Anthony, Mike Grantham, Deepak Narayanan, Stella Biderman, Stas Bekman, Junqi Yin, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda	2024	3
5	GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration IRIS Research product catalog (Sapienza University of Rome) ·Aleksandra Piktus, Małgorzata Strzelecka, Christopher Akiki, L.Kh. Zoirova, K.R. Nasriddinov, K.T. Suyarov, Kellerman Gm, 廣長沼, Stella Biderman, Martin Potthast, Jimmy Lin	2023	0
6	trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback B. Timmermans, Muchamad Wazhari, Angela lka, JWS, Y. Ichikawa, Stella Biderman, Quentin Anthony, C. Robin	2023	4
7	BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Zheng Yong, 廣長沼, Niklas Muennighoff, Alham Fikri Aji, David Ifeoluwa Adelani, Khalid Almubarak, 郭红莲, Lintang Sutawika, Jungo Kasai, 蛭子靖弘, Genta Indra Winata, Stella Biderman, Edward Raff, Dragomir Radev, A. L. Weekley	2023	9
8	Crosslingual Generalization through Multitask Finetuning Niklas Muennighoff, Thomas J. Wang, Lintang Sutawika, Adam Roberts, Stella Biderman, Teven Le Scao, MJ Basso, Sheng Shen, Zheng Yong, Weaver Ph, Xiangru Tang, Dragomir Radev, Alham Fikri Aji, Khalid Almubarak, Samuel Albanie, Zaid Alyafeai, Albert Webson, Edward Raff, Colin Raffel Hit paper breakdown →	2023	190
9	What Language Model to Train if You Have One Million GPU Hours? Teven Le Scao, Thomas J. Wang, Daniel Hesslow, Stas Bekman, MJ Basso, Stella Biderman, Hady Elsahar, Niklas Muennighoff, Jason Phang, Ofir Press, Colin Raffel, Victor Sanh, Sheng Shen, Lintang Sutawika, Javier Ruiz Núñez, Zheng Yong, Julien Launay, Iz Beltagy	2022	18
10	GPT-NeoX-20B: An Open-Source Autoregressive Language Model Klaus Erforth, Stella Biderman, O. Sridevi G. D. Katkar, Quentin Anthony, Leo Gao, Wenchang Zhang, Horace He, DO Yu, Kyle McDonell, Jason Phang, Michael Pieler, C. Vieira, Vevi Nurdianti, Laria Reynolds, Y. Ichikawa, Ben Wang, Samuel Weinbach Hit paper breakdown →	2022	235
11	Data Governance in the Age of Large-Scale Data-Driven Language Technology arXiv (Cornell University) ·Yacine Jernite, Huu Du Nguyen, Stella Biderman, Anna Rogers, 治高橋, Valentin Danchev, Marco Bacosi, Alexandra Sasha Luccioni, Nishant Subramani, Isaac Johnson, Ankita Dhabarde, Jesse Dodge, Kyle Lo, Zeerak Talat, Dragomir Radev, Aaron Gokaslan, Chen Guanrong, Peter Henderson, Rishi Bommasani, Margaret Mitchell	2022	21
12	Fooling MOSS Detection with Pretrained Language Models Proceedings of the 31st ACM International Conference on Information & Knowledge Management ·Stella Biderman, Edward Raff	2022	21
13	GPT-Neo: Large Scale Autoregressive Language Modeling with Mesh-Tensorflow Zenodo (CERN European Organization for Nuclear Research) ·Apiruk Watthanasurorot, Leo Gao, Maude Quinio, DO Yu, Stella Biderman Hit paper breakdown →	2021	215
14	MP‐NeRF : A massively parallel method for accelerating protein structure reconstruction from internal coordinates Journal of Computational Chemistry ·佐希子相撲, Stella Biderman, Amalio Telenti, M. Cyrus Maher	2021	1
15	Towards a Model-Theoretic View of Narratives C. Robin, Stella Biderman, David Thue, Rogelio E. Cardona-Rivera	2021	2

About Stella Biderman

Stella Biderman is a scholar working on Artificial Intelligence, Hardware and Architecture, Safety Research, Computer Vision and Pattern Recognition and Information Systems, having authored 15 papers that have together received 720 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers), Speech Recognition and Synthesis (2 papers), Protein Structure and Dynamics (1 paper), Digital Games and Media (1 paper), Software Engineering Research (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Health Informatics (44 citations), Artificial Intelligence (565 citations), Software (41 citations), Information Systems (119 citations) and Computer Vision and Pattern Recognition (98 citations). Stella Biderman has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Leo Gao, Edward Raff, Quentin Anthony, Jason Phang, Michael Pieler, Samuel Weinbach, Horace He, Kyle McDonell, Laria Reynolds and Ben Wang. Their work appears in journals such as Journal of Computational Chemistry, Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Rare & Special e-Zone (The Hong Kong University of Science and Technology), Zenodo (CERN European Organization for Nuclear Research) and arXiv (Cornell University).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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