no code implementations • 5 Apr 2024 • Hyeonwoo Kim, Gyoungjin Gim, Yungi Kim, Jihoo Kim, Byungju Kim, Wonseok Lee, Chanjun Park
We focus on integrating the Chain-of-Thought (CoT) and the Program-of-Thought (PoT) learning, hypothesizing that prioritizing the learning of mathematical reasoning ability is helpful for the amplification of problem-solving ability.
no code implementations • 28 Mar 2024 • Dahyun Kim, Yungi Kim, Wonho Song, Hyeonwoo Kim, Yunsu Kim, Sanghoon Kim, Chanjun Park
As development of large language models (LLM) progresses, aligning them with human preferences has become increasingly important.
no code implementations • 23 Jan 2024 • Hyeonwoo Kim, Sookwan Han, Patrick Kwon, Hanbyul Joo
One of the major challenges in AI is teaching machines to precisely respond and utilize environmental functionalities, thereby achieving the affordance awareness that humans possess.
2 code implementations • 23 Dec 2023 • Dahyun Kim, Chanjun Park, Sanghoon Kim, Wonsung Lee, Wonho Song, Yunsu Kim, Hyeonwoo Kim, Yungi Kim, Hyeonju Lee, Jihoo Kim, Changbae Ahn, Seonghoon Yang, Sukyung Lee, Hyunbyung Park, Gyoungjin Gim, Mikyoung Cha, Hwalsuk Lee, Sunghun Kim
We introduce SOLAR 10. 7B, a large language model (LLM) with 10. 7 billion parameters, demonstrating superior performance in various natural language processing (NLP) tasks.
no code implementations • 5 Oct 2023 • Hyeonwoo Kim, Wonsung Lee
The ACM RecSys Challenge 2023, organized by ShareChat, aims to predict the probability of the app being installed.
no code implementations • CVPR 2023 • Inwoo Hwang, Hyeonwoo Kim, Young Min Kim
We propose Text2Scene, a method to automatically create realistic textures for virtual scenes composed of multiple objects.
no code implementations • 14 Jul 2018 • Hyungjoon Kim, Hyeonwoo Kim, Eenjun Hwang
In this paper, we propose a method that can track the exact shape of facial landmarks in real-time by combining a deep learning technique and a point tracker.