1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.PL2025
Sharing State Between Prompts and Programs
Ellie Y. Cheng, Logan Weber, Tian Jin +1
The rise of large language models (LLMs) has introduced a new type of programming: natural language programming. Users write prompts, which are instructions in natural language, to…
cs.CL2023
The Cost of Down-Scaling Language Models: Fact Recall Deteriorates before In-Context Learning
Tian Jin, Nolan Clement, Xin Dong +4
How does scaling the number of parameters in large language models (LLMs) affect their core capabilities? We study two natural scaling techniques -- weight pruning and simply train…
cs.LG2022★ 1 cited
The Effect of Data Dimensionality on Neural Network Prunability
Zachary Ankner, Alex Renda, Gintare Karolina Dziugaite +2
Practitioners prune neural networks for efficiency gains and generalization improvements, but few scrutinize the factors determining the prunability of a neural network the maximum…