3 NAACL

LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices

NAACL 2025 LRQ: Optimizing Post-Training Quantization for Large Language Modelsby Learning Low-Rank Weight-Scaling Matrices Jung Hyun Lee, Jeonghoon Kim, June Yong Yang, Se Jung Kwon, Eunho Yang, Kang Min Yoo, Dongsoo Lee  With the commercialization of large language models (LLMs...

2 NAACL

KALA: Knowledge-Augmented Language Model Adaptation

NAACL 2022 KALA: Knowledge-Augmented Language Model Adaptation Minki Kang, Jinheon Baek, Sung Ju Hwang   Pre-trained language models (PLMs) have achieved remarkable success on various natural language understanding tasks. Simple fine-tuning of PLMs, on the other hand, might be s...

1 NAACL

Does it really generalize well on unseen data? Systematic Evaluation of Relational Triple Extraction Methods

NAACL 2022 Does it Really Generalize Well on Unseen Data? Systematic Evaluation of Relational Triple Extraction Methods Juhyuk Lee, Min-Joong Lee, June Yong Yang, Eunho Yang    The ability to extract entities and their relations from unstructured text is essential for the au...