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Dohyun Chung

2 accepted papers

2025

RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models

NeurIPS 2025poster

Recent multi-modal large language models (MLLMs) often struggle to generate personalized image captions, even when trained on high-quality captions. In this work, we observe that such limitations persist in existing post-training-based MLLM personalization methods. Specifically, despite being post-t…

Cited by 0SourcecodeScholar
2024

Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting

NeurIPS 2024poster

Sequence modeling faces challenges in capturing long-range dependencies across diverse tasks. Recent linear and transformer-based forecasters have shown superior performance in time series forecasting. However, they are constrained by their inherent inability to effectively address long-range depend…