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Disambiguation of "Hesslow, Daniel"

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What Language Model Architecture and Pretraining Objective Works Best for Zero-Shot Generalization?

, , , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 22964-22984. PMLR, (2022)

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Daniel

Daniel

Daniel Stanze

Systematische Analyse von Rezeptoren und Effektormechanismen der pulmonalen angeborenen Immunität. Uni Marburg, (2009)

Daniel Wied

Zivilprozessuale Qualifikationsprobleme im Spannungsfeld von Vertrag und Delikt: ein Beitrag zur Auslegung nationalen Zivilprozessrechts in europäischer Perspektive. Uni Regensburg, (2009)

Daniel Dirkmann

In-vitro-Untersuchungen zum Effekt von Hypothermie und Azidose auf Variablen thrombelastometrischer Messungen der Blutgerinnung. Uni Duisburg-Essen, (2009)
 

Other publications of authors with the same name

What Language Model Architecture and Pretraining Objective Works Best for Zero-Shot Generalization?, , , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 22964-22984. PMLR, (2022)The Falcon Series of Open Language Models., , , , , , , , , and 4 other author(s). CoRR, (2023)The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only., , , , , , , , and . CoRR, (2023)What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?, , , , , , , and . CoRR, (2022)Is the Number of Trainable Parameters All That Actually Matters?, , , and . ICBINB@NeurIPS, volume 163 of Proceedings of Machine Learning Research, page 27-32. PMLR, (2021)What Language Model to Train if You Have One Million GPU Hours?, , , , , , , , , and 9 other author(s). CoRR, (2022)RITA: a Study on Scaling Up Generative Protein Sequence Models., , , , and . CoRR, (2022)LightOn Optical Processing Unit : Scaling-up AI and HPC with a Non von Neumann co-processor., , , , , , , , , and 7 other author(s). HCS, page 1-11. IEEE, (2021)What Language Model to Train if You Have One Million GPU Hours?, , , , , , , , , and 8 other author(s). EMNLP (Findings), page 765-782. Association for Computational Linguistics, (2022)Is the Number of Trainable Parameters All That Actually Matters?, , , , and . CoRR, (2021)