ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation. - Sungduk Yu; Walter M. Hannah; Liran Peng; Jerry Lin; Mohamed Aziz Bhouri; Ritwik Gupta; Björn Lütjens; Justus C. Will; Gunnar Behrens; Julius Busecke; Nora Loose; Charles Stern; et al. (NeurIPS, 2023)

Two-step hyperparameter optimization method: Accelerating hyperparameter search by using a fraction of a training dataset. - Sungduk Yu; Mike Pritchard; Po-Lun Ma; Balwinder Singh; Sam Silva (CoRR, 2023)

ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators. - Sungduk Yu; Walter M. Hannah; Liran Peng; Mohamed Aziz Bhouri; Ritwik Gupta; Jerry Lin; Björn Lütjens; Justus C. Will; Tom Beucler; Bryce E. Harrop; Benjamin R. Hillman; Andrea M. Jenney; et al. (CoRR, 2023)

Systematic Sampling and Validation of Machine Learning-Parameterizations in Climate Models. - Jerry Lin; Sungduk Yu; Tom Beucler; Pierre Gentine; David Walling; Mike Pritchard (CoRR, 2023)

Why do LLaVA Vision-Language Models Reply to Images in English? - Musashi Hinck; Carolin Holtermann; Matthew L. Olson; Florian Schneider 001; Sungduk Yu; Anahita Bhiwandiwalla; Anne Lauscher; Shao-Yen Tseng; Vasudev Lal (EMNLP (Findings), 2024)

ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction. - Juan Nathaniel; Yongquan Qu; Tung Nguyen; Sungduk Yu; Julius Busecke; Aditya Grover; Pierre Gentine (NeurIPS, 2024)

ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution. - Sungduk Yu; Brian L. White; Anahita Bhiwandiwalla; Musashi Hinck; Matthew Lyle Olson; Tung Nguyen; Vasudev Lal (CoRR, 2024)

Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer Review. - Sungduk Yu; Man Luo; Avinash Madasu; Vasudev Lal; Phillip Howard (CoRR, 2024)

Causal World Representation in the GPT Model. - Raanan Y. Rohekar; Yaniv Gurwicz; Sungduk Yu; Vasudev Lal (CoRR, 2024)

LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model Compression. - Souvik Kundu 002; Anahita Bhiwandiwalla; Sungduk Yu; Phillip Howard; Tiep Le; Sharath Nittur Sridhar; David Cobbley; Hao Kang; Vasudev Lal (NAACL (Findings), 2025)

Semantic Specialization in MoE Appears with Scale: A Study of DeepSeek R1 Expert Specialization. - Matthew Lyle Olson; Neale Ratzlaff; Musashi Hinck; Man Luo; Sungduk Yu; Chendi Xue; Vasudev Lal (CoRR, 2025)

Is Your Paper Being Reviewed by an LLM? A New Benchmark Dataset and Approach for Detecting AI Text in Peer Review. - Sungduk Yu; Man Luo; Avinash Madusu; Vasudev Lal; Phillip Howard (CoRR, 2025)

A Semantic Parsing Framework for End-to-End Time Normalization. - Xin Su 008; Sungduk Yu; Phillip Howard; Steven Bethard (CoRR, 2025)