Digital Library
Search: "[ keyword: Large Language Model ]" (9)
Evaluating The Openness of Impactful AI Models with A Focus on LLMs
Kil-Won Jeon, Hyeon-jun Han, Kang-Won Lee The Transactions of the Korea Information Processing Society,
Vol. 14, No. 6, pp. 468-479,
Jun.
2025
https://doi.org/10.3745/TKIPS.2025.14.6.468
Keywords: Open Source AI Model, AI Model Openness, Large Language Model, Openness Evaluation Framework

Keywords: Open Source AI Model, AI Model Openness, Large Language Model, Openness Evaluation Framework
Evaluating Hallucination in LLM with Jeju Dialect Inputs
Seokjae Gwon, Jeongho Lee, Gyeonghoe Kim, Heeyeong Suh, Seyoung Lee The Transactions of the Korea Information Processing Society,
Vol. 14, No. 5, pp. 363-371,
May.
2025
https://doi.org/10.3745/TKIPS.2025.14.5.363
Keywords: Hallucination, Large Language Model, Dialect, Linguistic Diversity

Keywords: Hallucination, Large Language Model, Dialect, Linguistic Diversity
PEFT Methods for Domain Adaptation
Lee You Jin, Yoon Kyung Koo, Chung Woo Dam The Transactions of the Korea Information Processing Society,
Vol. 14, No. 4, pp. 239-247,
Apr.
2025
https://doi.org/10.3745/TKIPS.2025.14.4.239
Keywords: Parameter-Efficient Fine-tuning, domain adaptation, Deep Learning, Large Language Model, LoRa, MoRA

Keywords: Parameter-Efficient Fine-tuning, domain adaptation, Deep Learning, Large Language Model, LoRa, MoRA
Benchmark for Measuring Intersectional Bias in Race and Gender of Large Language Models Using Synthetic Data
Lee Jueun, Ho Bae The Transactions of the Korea Information Processing Society,
Vol. 14, No. 2, pp. 82-94,
Feb.
2025
https://doi.org/10.3745/TKIPS.2025.14.2.82
Keywords: Large Language Model, LLM, benchmark, bias, Synthetic Data

Keywords: Large Language Model, LLM, benchmark, bias, Synthetic Data
Pedestrian Road-Crossing Prediction and Safety Enhancement Using Fine-tuned VideoLLaMA2
Sung Hun Kim, Je-Seok Ham, Jinyoung Moon The Transactions of the Korea Information Processing Society,
Vol. 14, No. 1, pp. 32-40,
Jan.
2025
https://doi.org/10.3745/TKIPS.2025.14.1.32
Keywords: Pedestrian Road-Crossing Prediction, Pedestrian Safety, Multimodal Large Language Model, VideoLLaMA2, Fine-Tuning

Keywords: Pedestrian Road-Crossing Prediction, Pedestrian Safety, Multimodal Large Language Model, VideoLLaMA2, Fine-Tuning
A Study on Automatic Metrics for Korean Text Abstractive Summarization
Sehwi Yoon, Youhyun Shin The Transactions of the Korea Information Processing Society,
Vol. 13, No. 12, pp. 691-699,
Dec.
2024
https://doi.org/10.3745/TKIPS.2024.13.12.691
Keywords: Natural Language Processing, abstractive summarization, Automatic Metric, Transformer, Large Language Model

Keywords: Natural Language Processing, abstractive summarization, Automatic Metric, Transformer, Large Language Model
POI Recommender System Using Review Data
Dong-Uk Park, Bumku Choi, Muyeon Jo, Hyunseok Kim, Jungkyu Han The Transactions of the Korea Information Processing Society,
Vol. 13, No. 11, pp. 654-660,
Nov.
2024
https://doi.org/10.3745/TKIPS.2024.13.11.654
Keywords: POI Recommendation, Collaborative Filtering, Large Language Model, Review Data, Explainable AI

Keywords: POI Recommendation, Collaborative Filtering, Large Language Model, Review Data, Explainable AI
A Study on Dataset Generation Method for Korean Language Information Extraction from Generative Large Language Model and Prompt Engineering
Jeong Young Sang, Ji Seung Hyun, Kwon Da Rong Sae KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 11, pp. 481-492,
Nov.
2023
https://doi.org/10.3745/KTSDE.2023.12.11.481
Keywords: Large Language Model, Prompt Egineering, Zero-shot Learning, Dataset Generation, Information Extraction

Keywords: Large Language Model, Prompt Egineering, Zero-shot Learning, Dataset Generation, Information Extraction
TAGS: Text Augmentation with Generation and Selection
Kim Kyung Min, Dong Hwan Kim, Seongung Jo, Heung-Seon Oh, Myeong-Ha Hwang KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 10, pp. 455-460,
Oct.
2023
https://doi.org/10.3745/KTSDE.2023.12.10.455
Keywords: Natural Language Process, Artificial intelligence, Large Language Model, Few-Shot Learning, Text Augmentation

Keywords: Natural Language Process, Artificial intelligence, Large Language Model, Few-Shot Learning, Text Augmentation