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2020 – today
- 2024
[c9]Arash Ardakani
, Minwoo Kang, Kevin He, Vighnesh M. Iyer, Suhong Moon, John Wawrzynek:
Late Breaking Results: Differential and Massively Parallel Sampling of SAT Formulas. DAC 2024: 356:1-356:2- [c8]Suhong Moon, Marwa Abdulhai, Minwoo Kang, Joseph Suh, Widyadewi Soedarmadji, Eran Kohen Behar, David M. Chan:
Virtual Personas for Language Models via an Anthology of Backstories. EMNLP 2024: 19864-19897 - [c7]Sehoon Kim, Suhong Moon, Ryan Tabrizi, Nicholas Lee, Michael W. Mahoney, Kurt Keutzer, Amir Gholami:
An LLM Compiler for Parallel Function Calling. ICML 2024 - [c6]Seongbeom Park, Haeji Jung, Daewon Chae, Hyunju Yun, Sungyoon Kim, Suhong Moon, Jinkyu Kim, Seunghyun Park:
Text-Driven Prototype Learning for Few-Shot Class-Incremental Learning. ICPR (9) 2024: 16-31 - [c5]Seongbeom Park, Suhong Moon, Seunghyun Park, Jinkyu Kim:
Localization and Manipulation of Immoral Visual Cues for Safe Text-to-Image Generation. WACV 2024: 4663-4672 - [i8]Suhong Moon, Marwa Abdulhai, Minwoo Kang, Joseph Suh, Widyadewi Soedarmadji, Eran Kohen Behar, David M. Chan:
Virtual Personas for Language Models via an Anthology of Backstories. CoRR abs/2407.06576 (2024) - [i7]Lutfi Eren Erdogan, Nicholas Lee, Siddharth Jha, Sehoon Kim, Ryan Tabrizi, Suhong Moon, Coleman Hooper, Gopala Anumanchipalli, Kurt Keutzer, Amir Gholami:
TinyAgent: Function Calling at the Edge. CoRR abs/2409.00608 (2024) - [i6]Suhong Moon, Siddharth Jha, Lutfi Eren Erdogan, Sehoon Kim, Woosang Lim, Kurt Keutzer, Amir Gholami:
Efficient and Scalable Estimation of Tool Representations in Vector Space. CoRR abs/2409.02141 (2024) - [i5]Joseph Suh, Suhong Moon, Minwoo Kang, David M. Chan:
Rediscovering the Latent Dimensions of Personality with Large Language Models as Trait Descriptors. CoRR abs/2409.09905 (2024) - 2023
- [j2]Kunmo Kim, Suhong Moon, Jaeduk Han, Elad Alon, Ali M. Niknejad:
Precursor ISI Cancellation Sliding-Block DFE for High-Speed Wireline Receivers. IEEE Trans. Circuits Syst. I Regul. Pap. 70(10): 4169-4182 (2023) - [c4]Sehoon Kim, Karttikeya Mangalam, Suhong Moon, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer:
Speculative Decoding with Big Little Decoder. NeurIPS 2023 - [c3]Suhong Moon, Domas Buracas, Seunghyun Park, Jinkyu Kim, John F. Canny:
An Embedding-Dynamic Approach to Self-Supervised Learning. WACV 2023: 2749-2757 - [i4]Sehoon Kim, Suhong Moon, Ryan Tabrizi, Nicholas Lee, Michael W. Mahoney, Kurt Keutzer, Amir Gholami:
An LLM Compiler for Parallel Function Calling. CoRR abs/2312.04511 (2023) - 2022
- [c2]Yujin Jeong, Seongbeom Park, Suhong Moon, Jinkyu Kim:
Zero-shot Visual Commonsense Immorality Prediction. BMVC 2022: 320 - [i3]Suhong Moon, Domas Buracas, Seunghyun Park, Jinkyu Kim, John F. Canny:
An Embedding-Dynamic Approach to Self-supervised Learning. CoRR abs/2207.03552 (2022) - [i2]Yujin Jeong, Seongbeom Park, Suhong Moon, Jinkyu Kim:
Zero-shot Visual Commonsense Immorality Prediction. CoRR abs/2211.05521 (2022) - [i1]Seongbeom Park, Suhong Moon, Jinkyu Kim:
Judge, Localize, and Edit: Ensuring Visual Commonsense Morality for Text-to-Image Generation. CoRR abs/2212.03507 (2022) - 2020
- [c1]Jinkyu Kim, Suhong Moon, Anna Rohrbach, Trevor Darrell, John F. Canny:
Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules. CVPR 2020: 9658-9667
2010 – 2019
- 2019
- [j1]Suhong Moon, Kwanghyun Shin, Dongsuk Jeon:
Enhancing Reliability of Analog Neural Network Processors. IEEE Trans. Very Large Scale Integr. Syst. 27(6): 1455-1459 (2019)
Coauthor Index
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