10 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Frankenstein Optimizer: Harnessing the Potential by Revisiting Optimization Tricks
Chia-Wei Hsu, Nien-Ti Tsou, Yu-Cheng Chen +2
Gradient-based optimization drives the unprecedented performance of modern deep neural network models across diverse applications. Adaptive algorithms have accelerated neural netwo…
cs.CL2023★ 10 cited
Can ChatGPT be used to generate scientific hypotheses?
Yang Jeong Park, Daniel Kaplan, Zhichu Ren +5
We investigate whether large language models can perform the creative hypothesis generation that human researchers regularly do. While the error rate is high, generative AI seems t…