Sohyun An

According to our database, Sohyun An authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FRESCO: Benchmarking and Optimizing Re-rankers for Evolving Semantic Conflict in Retrieval-Augmented Generation.

Sohyun An, Hayeon Lee, Shuibenyang Yuan, Chun-cheng Jason Chen, Cho-Jui Hsieh, Vijai Mohan, Alexander Min

CoRR, April, 2026

Cycle-Consistent Search: Question Reconstructability as a Proxy Reward for Search Agent Training.

Sohyun An, Shuibenyang Yuan, Hayeon Lee, Cho-Jui Hsieh, Alexander Min

CoRR, April, 2026

T-MAP: Red-Teaming LLM Agents with Trajectory-aware Evolutionary Search.

Hyomin Lee, Sangwoo Park, Yumin Choi, Sohyun An, Seanie Lee, Sung Ju Hwang

CoRR, March, 2026

2025

DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation.

Yu Zhou, Sohyun An, Haikang Deng, Da Yin, Clark Peng, Cho-Jui Hsieh, Kai-Wei Chang, Nanyun Peng

CoRR, October, 2025

Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs.

Yunqi Hong, Sohyun An, Andrew Bai, Neil Y. C. Lin, Cho-Jui Hsieh

CoRR, June, 2025

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models.

Sohyun An, Ruochen Wang, Tianyi Zhou, Cho-Jui Hsieh

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts.

Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models.

Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

DiffusionNAG: Task-guided Neural Architecture Generation with Diffusion Models.

Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang

CoRR, 2023

Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets.

Hayeon Lee, Sohyun An, Minseon Kim, Sung Ju Hwang

Proceedings of the Eleventh International Conference on Learning Representations, 2023