Publications

Should LLMs, like, Generate How Users Talk? Building Dialect-Accurate Dialog[ue]s Beyond the American Default with MDial
J.Oh, P. Vicinanza, T. Butler, S. E. Whang, D. Hong, A. Namboori
Under Review

Talking with Tables for Better LLM Factual Data Interactions
J. Oh*, G. Heo*, S. Oh, J. Wang, X. Xie, and S. E. Whang
Under Review

Classroom AI: Large Language Models as Grade-Specific Teachers
J. Oh, S. E. Whang, J. Evans, J. Wang
Accepted to Nature Portfolio Journal Artificial Intelligence (NPJAI), 2026.

ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models

J. Oh*, S. Kim*, J. Seo, J. Wang, R. Xu, X. Xie, and S. E. Whang
Accepted to 38th Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. (Spotlight)

Development and validation of a deep learning-based automatic segmnetation model for assessing intracranial volume: for assesing intracranial volume: comparison with NeuroQuant, FreeSurfer, and SynthSeg 

P. S. Suh, W. Jung, C. H. Suh, J. Kim, J. Oh, H. Heo, W. H. Shim, J. Lim, J. Lee, H. Kim, and S. J. Kim
Accepted to Frontiers in Neurology, 2023.

"Good Enough!": Flexible Goal Achievement with Margin-based Outcome Evaluation

G. Jung, J. Oh, Y. Jung, J. Sun, H. K. Kong, U. Lee

Accepted to Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI), 2021.