no code implementations • 22 Apr 2024 • Yukyung Lee, Soonwon Ka, Bokyung Son, Pilsung Kang, Jaewook Kang
Large Language Models (LLMs) have significantly impacted the writing process, enabling collaborative content creation and enhancing productivity.
no code implementations • 27 Mar 2024 • Yukyung Lee, Joonghoon Kim, Jaehee Kim, Hyowon Cho, Pilsung Kang
We introduce CheckEval, a novel evaluation framework using Large Language Models, addressing the challenges of ambiguity and inconsistency in current evaluation methods.
1 code implementation • 9 Nov 2023 • Gunho No, Yukyung Lee, Hyeongwon Kang, Pilsung Kang
We introduce RAPID, a model that capitalizes on the inherent features of log data to enable anomaly detection without training delays, ensuring real-time capability.
no code implementations • 3 Jun 2023 • Yukyung Lee, Jaehee Kim, Doyoon Kim, Yookyung Kho, Younsun Kim, Pilsung Kang
As the e-commerce market continues to expand and online transactions proliferate, customer reviews have emerged as a critical element in shaping the purchasing decisions of prospective buyers.
no code implementations • 8 Jul 2022 • Yukyung Lee, Takyoung Kim, Hoonsang Yoon, Pilsung Kang, Junseong Bang, Misuk Kim
Dialogue State Tracking (DST) is critical for comprehensively interpreting user and system utterances, thereby forming the cornerstone of efficient dialogue systems.
no code implementations • ACL 2022 • Takyoung Kim, Hoonsang Yoon, Yukyung Lee, Pilsung Kang, Misuk Kim
Dialogue state tracking (DST) aims to extract essential information from multi-turn dialogue situations and take appropriate actions.
no code implementations • 18 Nov 2021 • Yukyung Lee, Jina Kim, Pilsung Kang
The system log generated in a computer system refers to large-scale data that are collected simultaneously and used as the basic data for determining errors, intrusion and abnormal behaviors.
no code implementations • 28 Aug 2021 • Takyoung Kim, Yukyung Lee, Hoonsang Yoon, Pilsung Kang, Junseong Bang, Misuk Kim
The primary purpose of dialogue state tracking (DST), a critical component of an end-to-end conversational system, is to build a model that responds well to real-world situations.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Youngbin Ro, Yukyung Lee, Pilsung Kang
In this paper, we propose Multi$^2$OIE, which performs open information extraction (open IE) by combining BERT with multi-head attention.
1 code implementation • 17 Sep 2020 • Youngbin Ro, Yukyung Lee, Pilsung Kang
In this paper, we propose Multi$^2$OIE, which performs open information extraction (open IE) by combining BERT with multi-head attention.
Ranked #7 on Open Information Extraction on CaRB