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EleutherAI: Going Beyond "Open Science" to "Science in the Open"

EleutherAI: Going Beyond "Open Science" to "Science in the Open"

12 October 2022
Jason Phang
Herbie Bradley
Leo Gao
Louis Castricato
Stella Biderman
    VLM
ArXiv (abs)PDFHTMLGithub

Papers citing "EleutherAI: Going Beyond "Open Science" to "Science in the Open""

11 / 11 papers shown
A Cartography of Open Collaboration in Open Source AI: Mapping Practices, Motivations, and Governance in 14 Open Large Language Model Projects
A Cartography of Open Collaboration in Open Source AI: Mapping Practices, Motivations, and Governance in 14 Open Large Language Model Projects
Johan Linåker
Cailean Osborne
Jennifer Ding
Ben Burtenshaw
VLM
165
2
0
29 Sep 2025
Causal Understanding by LLMs: The Role of Uncertainty
Causal Understanding by LLMs: The Role of Uncertainty
Oscar Lithgow-Serrano
Vani Kanjirangat
Alessandro Antonucci
CML
185
0
0
24 Sep 2025
AstroLLaVA: towards the unification of astronomical data and natural language
AstroLLaVA: towards the unification of astronomical data and natural language
Sharaf Zaman
Michael J. Smith
P. Khetarpal
Rishabh Chakrabarty
Michele Ginolfi
...
Maja Jabłońska
Sandor Kruk
Matthieu Le Lain
Sergio J. Rodríguez Méndez
Dimitrios Tanoglidis
482
3
0
11 Apr 2025
Enterprise Benchmarks for Large Language Model Evaluation
Enterprise Benchmarks for Large Language Model Evaluation
Bing Zhang
Mikio Takeuchi
Ryo Kawahara
Shubhi Asthana
Md. Maruf Hossain
Guang-Jie Ren
Kate Soule
Yada Zhu
ELM
288
4
0
11 Oct 2024
AstroPT: Scaling Large Observation Models for Astronomy
AstroPT: Scaling Large Observation Models for Astronomy
Michael J. Smith
Ryan J. Roberts
E. Angeloudi
M. Huertas-Company
311
8
0
23 May 2024
Automated Program Repair: Emerging trends pose and expose problems for
  benchmarks
Automated Program Repair: Emerging trends pose and expose problems for benchmarksACM Computing Surveys (ACM CSUR), 2024
J. Renzullo
Pemma Reiter
Westley Weimer
Stephanie Forrest
271
10
0
08 May 2024
Hazards from Increasingly Accessible Fine-Tuning of Downloadable
  Foundation Models
Hazards from Increasingly Accessible Fine-Tuning of Downloadable Foundation Models
Alan Chan
Ben Bucknall
Herbie Bradley
David M. Krueger
294
8
0
22 Dec 2023
Opening up ChatGPT: Tracking openness, transparency, and accountability
  in instruction-tuned text generators
Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generatorsInternational Conference on Conversational User Interfaces (CUI), 2023
Andreas Liesenfeld
Alianda Lopez
Mark Dingemanse
ALM
247
115
0
08 Jul 2023
Emergent and Predictable Memorization in Large Language Models
Emergent and Predictable Memorization in Large Language ModelsNeural Information Processing Systems (NeurIPS), 2023
Stella Biderman
USVSN Sai Prashanth
Lintang Sutawika
Hailey Schoelkopf
Quentin G. Anthony
Shivanshu Purohit
Edward Raf
371
181
0
21 Apr 2023
Pythia: A Suite for Analyzing Large Language Models Across Training and
  Scaling
Pythia: A Suite for Analyzing Large Language Models Across Training and ScalingInternational Conference on Machine Learning (ICML), 2023
Stella Biderman
Hailey Schoelkopf
Quentin G. Anthony
Herbie Bradley
Kyle O'Brien
...
USVSN Sai Prashanth
Edward Raff
Aviya Skowron
Lintang Sutawika
Oskar van der Wal
523
1,787
0
03 Apr 2023
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop
:
Teven Le Scao
Angela Fan
Christopher Akiki
...
Zhongli Xie
Zifan Ye
M. Bras
Younes Belkada
Thomas Wolf
VLM
1.0K
2,879
0
09 Nov 2022
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