Search Results for author: Suhong Moon

Found 5 papers, 3 papers with code

An LLM Compiler for Parallel Function Calling

1 code implementation7 Dec 2023 Sehoon Kim, Suhong Moon, Ryan Tabrizi, Nicholas Lee, Michael W. Mahoney, Kurt Keutzer, Amir Gholami

To address this, we introduce LLMCompiler, which executes functions in parallel to efficiently orchestrate multiple function calling.

Speculative Decoding with Big Little Decoder

1 code implementation NeurIPS 2023 Sehoon Kim, Karttikeya Mangalam, Suhong Moon, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer

To address this, we propose Big Little Decoder (BiLD), a framework that can improve inference efficiency and latency for a wide range of text generation applications.

Machine Translation Text Generation

Ensuring Visual Commonsense Morality for Text-to-Image Generation

no code implementations7 Dec 2022 Seongbeom Park, Suhong Moon, Jinkyu Kim

Text-to-image generation methods produce high-resolution and high-quality images, but these methods should not produce immoral images that may contain inappropriate content from the perspective of commonsense morality.

Image Manipulation Text-to-Image Generation

Zero-shot Visual Commonsense Immorality Prediction

1 code implementation10 Nov 2022 Yujin Jeong, Seongbeom Park, Suhong Moon, Jinkyu Kim

Here, we propose a model that predicts visual commonsense immorality in a zero-shot manner.

Ethics

An Embedding-Dynamic Approach to Self-supervised Learning

no code implementations7 Jul 2022 Suhong Moon, Domas Buracas, Seunghyun Park, Jinkyu Kim, John Canny

It also uses a purely-dynamic local dispersive force (Brownian motion) that shows improved performance over other methods and does not require knowledge of other particle coordinates.

Classification Image Classification +7

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