Jessica Zosa Forde

1. Lessons from the Trenches on Reproducible Evaluation of Language Models
   2024/05/23 by Stella Biderman, Hailey Schoelkopf, Biderman, Stella +58 · 2 voices · 41 citations
   Computer Science · #Natural Language Processing Techniques
2. BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
   2022/11/09 by BigScience Workshop, Workshop, BigScience, Teven Le Scao +784 · 1 voice · 133 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #cs.CL
3. Efficient Methods for Natural Language Processing: A Survey
   2022/08/31 by Marcos Treviso, Treviso, Marcos, Ji-Ung Lee +41 · 2 voices · 10 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #cs.CL
4. Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track
   2025/06/24 by Rylan Schaeffer, Schaeffer, Rylan, Joshua Kazdan +25 · 2 voices · 3 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.CY #cs.LG
5. The Scientific Method in the Science of Machine Learning
   2019/04/24 by Jessica Zosa Forde, Forde, Jessica Zosa, Michela Paganini +1 · 4 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Adversarial Robustness in Machine Learning #Cell Image Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
6. Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages
   2023/03/23 by Zheng-Xin Yong, Ruochen Zhang, Yong, Zheng-Xin +23 · 6 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
7. Streamlining Tensor and Network Pruning in PyTorch
   2020/04/28 by M. Paganini, Paganini, Michela, Jessica Zosa Forde +1 · 2 citations
   Computer Science · Mathematics · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel Computing and Optimization Techniques #Tensor decomposition and applications
8. Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation
   2022/11/01 by Cody Blakeney, Blakeney, Cody, Jessica Zosa Forde +7 · 1 citation
   Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling