4 papers
Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models
Seungcheol Park, Jeongin Bae, Beomseok Kwon +5
How can we quantize large language models while preserving accuracy? Quantization is essential for deploying large language models (LLMs) efficiently. Binary-coding quantization (B…
Context-Robust Knowledge Editing for Language Models
Haewon Park, Gyubin Choi, Minjun Kim +1
Knowledge editing (KE) methods offer an efficient way to modify knowledge in large language models. Current KE evaluations typically assess editing success by considering only the…
Solution for SMART-101 Challenge of CVPR Multi-modal Algorithmic Reasoning Task 2024
Jinwoo Ahn, Junhyeok Park, Min-Jun Kim +6
In this paper, the solution of HYU MLLAB KT Team to the Multimodal Algorithmic Reasoning Task: SMART-101 CVPR 2024 Challenge is presented. Beyond conventional visual question-answe…
Generation and Influence of Eccentric Ideas on Social Networks
Sriniwas Pandey, Yiding Cao, Yingjun Dong +5
Studying extreme ideas in routine choices and discussions is of utmost importance to understand the increasing polarization in society. In this study, we focus on understanding the…