Daniel Hesslow
Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies(FR)Université de franche-comté(FR)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Neural Networks and Reservoir Computing, Neural Networks and Applications, Sparse and Compressive Sensing Techniques
Most-Cited Works
- → BLOOM: A 176B-Parameter Open-Access Multilingual Language Model(2022)277 cited
- → The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only(2023)156 cited
- → The Falcon Series of Open Language Models(2023)112 cited
- → RITA: a Study on Scaling Up Generative Protein Sequence Models(2022)59 cited
- → What Language Model to Train if You Have One Million GPU Hours?(2022)32 cited
- → What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?(2022)23 cited
- → Contrastive Embeddings for Neural Architectures(2021)2 cited
- → Scaling Laws Beyond Backpropagation(2022)2 cited
- → Artificial Neural Network Training on an Optical Processor via Direct Feedback Alignment(2023)1 cited