| Speculative decoding with big little decoder S Kim, K Mangalam, S Moon, J Malik, MW Mahoney, A Gholami, ... Advances in Neural Information Processing Systems 36, 2024 | 93* | 2024 |
| Advisable learning for self-driving vehicles by internalizing observation-to-action rules J Kim, S Moon, A Rohrbach, T Darrell, J Canny Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 62 | 2020 |
| Enhancing reliability of analog neural network processors S Moon, K Shin, D Jeon IEEE Transactions on Very Large Scale Integration (VLSI) Systems 27 (6 …, 2019 | 49 | 2019 |
| An LLM compiler for parallel function calling S Kim, S Moon, R Tabrizi, N Lee, MW Mahoney, K Keutzer, A Gholami arXiv preprint arXiv:2312.04511, 2023 | 44 | 2023 |
| Toward explainable and advisable model for self‐driving cars J Kim, A Rohrbach, Z Akata, S Moon, T Misu, YT Chen, T Darrell, J Canny Applied AI Letters 2 (4), e56, 2021 | 26 | 2021 |
| Nanoelectrokinetic bufferchannel-less radial preconcentrator and online extractor by tunable ion depletion layer S Lee, S Park, W Kim, S Moon, HY Kim, H Lee, SJ Kim Biomicrofluidics 13 (3), 2019 | 19 | 2019 |
| Machine-learning-powered extraction of molecular diffusivity from single-molecule images for super-resolution mapping HH Park, B Wang, S Moon, T Jepson, K Xu Nature Communications Biology, 2023 | 9 | 2023 |
| Localization and manipulation of immoral visual cues for safe text-to-image generation S Park, S Moon, S Park, J Kim Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 8 | 2024 |
| Tinyagent: Function calling at the edge LE Erdogan, N Lee, S Jha, S Kim, R Tabrizi, S Moon, C Hooper, ... arXiv preprint arXiv:2409.00608, 2024 | 7 | 2024 |
| Precursor ISI Cancellation Sliding-Block DFE for High-Speed Wireline Receivers K Kim, S Moon, J Han, E Alon, A Niknejad IEEE Transactions on Circuits and Systems I: Regular Papers, 2023 | 6 | 2023 |
| An Embedding-Dynamic Approach to Self-Supervised Learning S Moon, D Buracas, S Park, J Kim, J Canny Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 6 | 2023 |
| Ensuring Visual Commonsense Morality for Text-to-Image Generation S Park, S Moon, J Kim arXiv preprint arXiv:2212.03507, 2022 | 4 | 2022 |
| Virtual Personas for Language Models via an Anthology of Backstories S Moon, M Abdulhai, M Kang, J Suh, W Soedarmadji, EK Behar, ... arXiv preprint arXiv:2407.06576, 2024 | 3 | 2024 |
| Zero-shot visual commonsense immorality prediction Y Jeong, S Park, S Moon, J Kim arXiv preprint arXiv:2211.05521, 2022 | 3 | 2022 |
| Late Breaking Results: Differential and Massively Parallel Sampling of SAT Formulas A Ardakani, M Kang, K He, V Iyer, S Moon, J Wawrzynek Proceedings of the 61st ACM/IEEE Design Automation Conference (DAC), 2024 | 2 | 2024 |
| DEMOTIC: A differentiable sampler for multi-level digital circuits A Ardakani, M Kang, K He, Q Huang, V Iyer, S Moon, J Wawrzynek Proceedings of the 30th Asia and South Pacific Design Automation Conference …, 2025 | 1 | 2025 |
| Efficient and scalable estimation of tool representations in vector space S Moon, S Jha, LE Erdogan, S Kim, W Lim, K Keutzer, A Gholami arXiv preprint arXiv:2409.02141, 2024 | 1 | 2024 |
| Rediscovering the Latent Dimensions of Personality with Large Language Models as Trait Descriptors J Suh, S Moon, M Kang, DM Chan arXiv preprint arXiv:2409.09905, 2024 | | 2024 |
| TinyAgent: Function Calling at the Edge L Eren Erdogan, N Lee, S Jha, S Kim, R Tabrizi, S Moon, C Hooper, ... arXiv e-prints, arXiv: 2409.00608, 2024 | | 2024 |
| Kevin He A Ardakani, M Kang, K He, Q Huang, J Wawrzynek, V Iyer, S Moon University of California, Berkeley 2024, 2021 | | 2021 |
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