Suhong Moon

According to our database, Suhong Moon authored at least 20 papers between 2019 and 2025.

Collaborative distances:

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

2025

Higher-Order Binding of Language Model Virtual Personas: a Study on Approximating Political Partisan Misperceptions.

Minwoo Kang, Suhong Moon, Seungyong Lee, Ayush Raj, Joseph Suh, David M. Chan

CoRR, April, 2025

Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks.

Lutfi Eren Erdogan, Nicholas Lee, Sehoon Kim, Suhong Moon, Hiroki Furuta, Gopala Anumanchipalli, Kurt Keutzer, Amir Gholami

CoRR, March, 2025

ETS: Efficient Tree Search for Inference-Time Scaling.

Coleman Hooper, Sehoon Kim, Suhong Moon, Kerem Dilmen, Monishwaran Maheswaran, Nicholas Lee, Michael W. Mahoney, Yakun Sophia Shao, Kurt Keutzer, Amir Gholami

CoRR, February, 2025

DEMOTIC: A Differentiable Sampler for Multi-Level Digital Circuits.

Arash Ardakani, Minwoo Kang, Kevin He, Qijing Huang, Vighnesh M. Iyer, Suhong Moon, John Wawrzynek

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions.

Joseph Suh, Erfan Jahanparast, Suhong Moon, Minwoo Kang, Serina Chang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Rediscovering the Latent Dimensions of Personality with Large Language Models as Trait Descriptors.

Joseph Suh, Suhong Moon, Minwoo Kang, David M. Chan

CoRR, 2024

Efficient and Scalable Estimation of Tool Representations in Vector Space.

Suhong Moon, Siddharth Jha, Lutfi Eren Erdogan, Sehoon Kim, Woosang Lim, Kurt Keutzer, Amir Gholami

CoRR, 2024

TinyAgent: Function Calling at the Edge.

Lutfi Eren Erdogan, Nicholas Lee, Siddharth Jha, Sehoon Kim, Ryan Tabrizi, Suhong Moon, Coleman Hooper, Gopala Anumanchipalli, Kurt Keutzer, Amir Gholami

CoRR, 2024

Localization and Manipulation of Immoral Visual Cues for Safe Text-to-Image Generation.

Seongbeom Park, Suhong Moon, Seunghyun Park, Jinkyu Kim

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Text-Driven Prototype Learning for Few-Shot Class-Incremental Learning.

Seongbeom Park, Haeji Jung, Daewon Chae, Hyunju Yun, Sungyoon Kim, Suhong Moon, Jinkyu Kim, Seunghyun Park

Proceedings of the Pattern Recognition - 27th International Conference, 2024

An LLM Compiler for Parallel Function Calling.

Sehoon Kim, Suhong Moon, Ryan Tabrizi, Nicholas Lee, Michael W. Mahoney, Kurt Keutzer, Amir Gholami

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

Virtual Personas for Language Models via an Anthology of Backstories.

Suhong Moon, Marwa Abdulhai, Minwoo Kang, Joseph Suh, Widyadewi Soedarmadji, Eran Kohen Behar, David M. Chan

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Late Breaking Results: Differential and Massively Parallel Sampling of SAT Formulas.

Arash Ardakani, Minwoo Kang, Kevin He, Vighnesh M. Iyer, Suhong Moon, John Wawrzynek

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Precursor ISI Cancellation Sliding-Block DFE for High-Speed Wireline Receivers.

Kunmo Kim, Suhong Moon, Jaeduk Han, Elad Alon, Ali M. Niknejad

IEEE Trans. Circuits Syst. I Regul. Pap., October, 2023

An Embedding-Dynamic Approach to Self-Supervised Learning.

Suhong Moon, Domas Buracas, Seunghyun Park, Jinkyu Kim, John F. Canny

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Speculative Decoding with Big Little Decoder.

Sehoon Kim, Karttikeya Mangalam, Suhong Moon, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Judge, Localize, and Edit: Ensuring Visual Commonsense Morality for Text-to-Image Generation.

Seongbeom Park, Suhong Moon, Jinkyu Kim

CoRR, 2022

Zero-shot Visual Commonsense Immorality Prediction.

Yujin Jeong, Seongbeom Park, Suhong Moon, Jinkyu Kim

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2020

Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules.

Jinkyu Kim, Suhong Moon, Anna Rohrbach, Trevor Darrell, John F. Canny

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Enhancing Reliability of Analog Neural Network Processors.

Suhong Moon, Kwanghyun Shin, Dongsuk Jeon

IEEE Trans. Very Large Scale Integr. Syst., 2019