Suhong Moon

31 papers A* 6A 3Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Identity, Cooperation and Framing Effects within Groups of Real and Simulated Humans.
CoRR
Suhong Moon, Minwoo Kang, Joseph Suh, Mustafa Safdari, John Canny
2025 — conf
DEMOTIC: A Differentiable Sampler for Multi-Level Digital Circuits.
ASP-DAC
Arash Ardakani, Minwoo Kang, Kevin He, Qijing Huang, Vighnesh M. Iyer, Suhong Moon, John Wawrzynek
2025 J jnl
DEMOTIC: A Differentiable Sampler for Multi-Level Digital Circuits.
CoRR
Arash Ardakani, Minwoo Kang, Kevin He, Qijing Huang, Vighnesh M. Iyer, Suhong Moon, John Wawrzynek
2025 J jnl
ETS: Efficient Tree Search for Inference-Time Scaling.
CoRR
Coleman Hooper, Sehoon Kim, Suhong Moon, Kerem Dilmen, Monishwaran Maheswaran, Nicholas Lee, Michael W. Mahoney, Yakun Sophia Shao, Kurt Keutzer, Amir Gholami
2025 J jnl
Hard-Negative Prototype-Based Regularization for Few-Shot Class-Incremental Learning.
Trans. Mach. Learn. Res.
Seongbeom Park, Hyunju Yun, Daewon Chae, Sungyoon Kim, Suhong Moon, Minwoo Kang, Seunghyun Park, Jinkyu Kim
2025 J jnl
Higher-Order Binding of Language Model Virtual Personas: a Study on Approximating Political Partisan Misperceptions.
CoRR
Minwoo Kang, Suhong Moon, Seungyong Lee, Ayush Raj, Joseph Suh, David M. Chan
2025 — conf
Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions.
ACL (1)
Joseph Suh, Erfan Jahanparast, Suhong Moon, Minwoo Kang, Serina Chang
2025 J jnl
Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions.
CoRR
Joseph Suh, Erfan Jahanparast, Suhong Moon, Minwoo Kang, Serina Chang
2025 A* conf
Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks.
ICML
Lutfi Eren Erdogan, Nicholas Lee, Sehoon Kim, Suhong Moon, Hiroki Furuta, Gopala Anumanchipalli, Kurt Keutzer, Amir Gholami
2025 J jnl
Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks.
CoRR
Lutfi Eren Erdogan, Nicholas Lee, Sehoon Kim, Suhong Moon, Hiroki Furuta, Gopala Anumanchipalli, Kurt Keutzer, Amir Gholami
2025 J jnl
Rethinking LLM Human Simulation: When a Graph is What You Need.
CoRR
Joseph Suh, Suhong Moon, Serina Chang
2024 A* conf
An LLM Compiler for Parallel Function Calling.
ICML
Sehoon Kim, Suhong Moon, Ryan Tabrizi, Nicholas Lee, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
2024 J jnl
Efficient and Scalable Estimation of Tool Representations in Vector Space.
CoRR
Suhong Moon, Siddharth Jha, Lutfi Eren Erdogan, Sehoon Kim, Woosang Lim, Kurt Keutzer, Amir Gholami
2024 A* conf
Late Breaking Results: Differential and Massively Parallel Sampling of SAT Formulas.
DAC
Arash Ardakani, Minwoo Kang, Kevin He, Vighnesh M. Iyer, Suhong Moon, John Wawrzynek
2024 A conf
Localization and Manipulation of Immoral Visual Cues for Safe Text-to-Image Generation.
WACV
Seongbeom Park, Suhong Moon, Seunghyun Park, Jinkyu Kim
2024 J jnl
Rediscovering the Latent Dimensions of Personality with Large Language Models as Trait Descriptors.
CoRR
Joseph Suh, Suhong Moon, Minwoo Kang, David M. Chan
2024 — conf
Text-Driven Prototype Learning for Few-Shot Class-Incremental Learning.
ICPR (9)
Seongbeom Park, Haeji Jung, Daewon Chae, Hyunju Yun, Sungyoon Kim, Suhong Moon, Jinkyu Kim, Seunghyun Park
2024 — conf
TinyAgent: Function Calling at the Edge.
EMNLP (System Demonstrations)
Lutfi Eren Erdogan, Nicholas Lee, Siddharth Jha, Sehoon Kim, Ryan Tabrizi, Suhong Moon, Coleman Richard Charles Hooper, Gopala Anumanchipalli, Kurt Keutzer, Amir Gholami
2024 J jnl
TinyAgent: Function Calling at the Edge.
CoRR
Lutfi Eren Erdogan, Nicholas Lee, Siddharth Jha, Sehoon Kim, Ryan Tabrizi, Suhong Moon, Coleman Hooper, Gopala Anumanchipalli, Kurt Keutzer, Amir Gholami
2024 A* conf
Virtual Personas for Language Models via an Anthology of Backstories.
EMNLP
Suhong Moon, Marwa Abdulhai, Minwoo Kang, Joseph Suh, Widyadewi Soedarmadji, Eran Kohen Behar, David M. Chan
2024 J jnl
Virtual Personas for Language Models via an Anthology of Backstories.
CoRR
Suhong Moon, Marwa Abdulhai, Minwoo Kang, Joseph Suh, Widyadewi Soedarmadji, Eran Kohen Behar, David M. Chan
2023 A conf
An Embedding-Dynamic Approach to Self-Supervised Learning.
WACV
Suhong Moon, Domas Buracas, Seunghyun Park, Jinkyu Kim, John F. Canny
2023 J jnl
An LLM Compiler for Parallel Function Calling.
CoRR
Sehoon Kim, Suhong Moon, Ryan Tabrizi, Nicholas Lee, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
2023 J jnl
Precursor ISI Cancellation Sliding-Block DFE for High-Speed Wireline Receivers.
IEEE Trans. Circuits Syst. I Regul. Pap.
Kunmo Kim, Suhong Moon, Jaeduk Han, Elad Alon, Ali M. Niknejad
2023 A* conf
Speculative Decoding with Big Little Decoder.
NeurIPS
Sehoon Kim, Karttikeya Mangalam, Suhong Moon, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer
2022 J jnl
An Embedding-Dynamic Approach to Self-supervised Learning.
CoRR
Suhong Moon, Domas Buracas, Seunghyun Park, Jinkyu Kim, John F. Canny
2022 J jnl
Judge, Localize, and Edit: Ensuring Visual Commonsense Morality for Text-to-Image Generation.
CoRR
Seongbeom Park, Suhong Moon, Jinkyu Kim
2022 A conf
Zero-shot Visual Commonsense Immorality Prediction.
BMVC
Yujin Jeong, Seongbeom Park, Suhong Moon, Jinkyu Kim
2022 J jnl
Zero-shot Visual Commonsense Immorality Prediction.
CoRR
Yujin Jeong, Seongbeom Park, Suhong Moon, Jinkyu Kim
2020 A* conf
Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules.
CVPR
Jinkyu Kim, Suhong Moon, Anna Rohrbach, Trevor Darrell, John F. Canny
2019 J jnl
Enhancing Reliability of Analog Neural Network Processors.
IEEE Trans. Very Large Scale Integr. Syst.
Suhong Moon, Kwanghyun Shin, Dongsuk Jeon