activity
20222026
most citedCan ChatGPT be used to generate scientific hypotheses?

10 citations · 16 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2026

Multi-Persona Debate System for Automated Scientific Hypothesis Generation

Jaeha Oh, Byungchan Kim, Ju Li +2

Modern scientific discovery is bottlenecked not by data scarcity, but by the inability to synthesize fragmented knowledge into actionable hypotheses. This challenge is especially a…

cond-mat.mtrl-sci2025★ 3 cited

Leveraging neural network interatomic potentials for a foundation model of chemistry

So Yeon Kim, Yang Jeong Park, Ju Li

Large-scale foundation models, including neural network interatomic potentials (NIPs) in computational materials science, have demonstrated significant potential. However, despite…

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.CL2025★ 3 cited

Contrastive Learning of English Language and Crystal Graphs for Multimodal Representation of Materials Knowledge

Yang Jeong Park, Mayank Kumaran, Chia-Wei Hsu +2

Artificial intelligence (AI) is increasingly used for the inverse design of materials, such as crystals and molecules. Existing AI research on molecules has integrated chemical str…

physics.bio-ph2023

Machine learning traction force maps of cell monolayers

Changhao Li, Luyi Feng, Yang Jeong Park +3

Cellular force transmission across a hierarchy of molecular switchers is central to mechanobiological responses. However, current cellular force microscopies suffer from low throug…

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…

cs.LG2022

Edge Direction-invariant Graph Neural Networks for Molecular Dipole Moments Prediction

Yang Jeong Park

The dipole moment is a physical quantity indicating the polarity of a molecule and is determined by reflecting the electrical properties of constituent atoms and the geometric prop…