Publications
From core algorithms and theoretical insights to applied systems tackling perception, language, and decision making.
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AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models
Empirical Methods in Natural Language Processing (EMNLP)
Sangjun Lee*, Seung-taek Woo*, Jun-gyu Jin, Changhun Lee, Eunhyeok Park
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Grouped Speculative Decoding for Autoregressive Image Generation
International Conference on Computer Vision (ICCV)
Junhyuk So, Juncheol Shin, Hyunho Kook, Eunhyeok Park
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GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
Advances in Neural Information Processing Systems (NeurIPS)
Yeonjoon Jung, Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park
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Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation
International Conference on Machine Learning (ICML)
Juncheol Shin, Minsang Seok, Seonggon Kim, Eunhyeok Park
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PCM: Picard Consistency Model for Fast Parallel Sampling of Diffusion Models
Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR)
Junhyuk So, Jiwoong Shin, Chaeyeon Jang, Eunhyeok Park
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HOT: Hadamard-based Optimized Training
Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR)
Seonggon Kim, Juncheol Shin, Seung-taek Woo, Eunhyeok Park