Moon, Suhong

11 publications

TMLR 2025 Hard-Negative Prototype-Based Regularization for Few-Shot Class-Incremental Learning Seongbeom Park, Hyunju Yun, Daewon Chae, Sungyoon Kim, Suhong Moon, Minwoo Kang, Seunghyun Park, Jinkyu Kim

ICML 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

ICMLW 2024 AdaNF: Quantization Group Adaptive NormalFloat for Low Bit Fine-Tuning of LLMs Yeojoon Youn, Sehoon Kim, Suhong Moon, Sang Keun Choe, Ce Zhang

ICML 2024 An LLM Compiler for Parallel Function Calling Sehoon Kim, Suhong Moon, Ryan Tabrizi, Nicholas Lee, Michael W. Mahoney, Kurt Keutzer, Amir Gholami

WACV 2024 Localization and Manipulation of Immoral Visual Cues for Safe Text-to-Image Generation Seongbeom Park, Suhong Moon, Seunghyun Park, Jinkyu Kim

NeurIPSW 2024 Rediscovering the Latent Dimensions of Personality with Large Language Models as Trait Descriptors Joseph Suh, Suhong Moon, Minwoo Kang, David Chan

NeurIPSW 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 Chan

NeurIPSW 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 Chan

WACV 2023 An Embedding-Dynamic Approach to Self-Supervised Learning Suhong Moon, Domas Buracas, Seunghyun Park, Jinkyu Kim, John Canny

ICMLW 2023 Ensuring Visual Commonsense Morality for Text-to-Image Generation Seongbeom Park, Suhong Moon, Jinkyu Kim

NeurIPS 2023 Speculative Decoding with Big Little Decoder Sehoon Kim, Karttikeya Mangalam, Suhong Moon, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer