Digital Library
Search: "[ keyword: Large Language Model ]" (14)
Enhancing LLM-driven Program Repair through RAG and Test-Method Mapping
Aslan Safarovich Abdinabiev, Eunseo Jung, Byungjeong Lee The Transactions of the Korea Information Processing Society,
Vol. 15, No. 1, pp. 61-69,
Jan.
2026
10.3745/TKIPS.2026.15.1.61
Keywords: Automated Program Repair, large language models, Retrieval-Augmented Generation
10.3745/TKIPS.2026.15.1.61
Keywords: Automated Program Repair, large language models, Retrieval-Augmented Generation
NTP-Based DPO Training for Suppressing Korean-Chinese Code-Switching
Sungmin Ko, Youhyun Shin The Transactions of the Korea Information Processing Society,
Vol. 15, No. 1, pp. 54-60,
Jan.
2026
10.3745/TKIPS.2026.15.1.54
Keywords: Artificial intelligence, Natural Language Processing, Code Switching, large language models
10.3745/TKIPS.2026.15.1.54
Keywords: Artificial intelligence, Natural Language Processing, Code Switching, large language models
MLSQ: A Multimodal-based System for Learning Material Summarization and Question Generation
Geonwoo Yu, Sangyoon Lee, Jinyoung Ahn, Minha Woo, Sugyeong Kim, Jungoo Lee, Hyeonwoo Choi, Yaeran Kim, Woonghee Lee The Transactions of the Korea Information Processing Society,
Vol. 14, No. 12, pp. 1004-1015,
Dec.
2025
10.3745/TKIPS.2025.14.12.1004
Keywords: Multimodal, Automatic Question Generation, Learning Material Summarization, Large Language Model, Optical Character Recognition
10.3745/TKIPS.2025.14.12.1004
Keywords: Multimodal, Automatic Question Generation, Learning Material Summarization, Large Language Model, Optical Character Recognition
A Study on Cryptocurrency Price Movement Prediction Using Prompt Engineering
Hwangil Jeong, Youhyun Shin The Transactions of the Korea Information Processing Society,
Vol. 14, No. 10, pp. 813-824,
Oct.
2025
https://doi.org/10.3745/TKIPS.2025.14.10.813
Keywords: Natural Language Processing, Large Language Model, Cryptocurrency, prompt engineering
https://doi.org/10.3745/TKIPS.2025.14.10.813
Keywords: Natural Language Processing, Large Language Model, Cryptocurrency, prompt engineering
Sex-Specific Prompt Engineering for OSA Severity Classification Using Large Language Models
Seungyeon Ryu, Hyeon Jin Kim, Younghan Lee The Transactions of the Korea Information Processing Society,
Vol. 14, No. 9, pp. 713-721,
Sep.
2025
https://doi.org/10.3745/TKIPS.2025.14.9.713
Keywords: Obstructive Sleep Apnea (OSA), prompt engineering, Chain-of-Thought Prompting, Large Language Model
https://doi.org/10.3745/TKIPS.2025.14.9.713
Keywords: Obstructive Sleep Apnea (OSA), prompt engineering, Chain-of-Thought Prompting, Large Language Model
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
https://doi.org/10.3745/TKIPS.2025.14.6.468
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
https://doi.org/10.3745/TKIPS.2025.14.5.363
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
https://doi.org/10.3745/TKIPS.2025.14.4.239
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
https://doi.org/10.3745/TKIPS.2025.14.2.82
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
https://doi.org/10.3745/TKIPS.2025.14.1.32
Keywords: Pedestrian Road-Crossing Prediction, Pedestrian Safety, Multimodal Large Language Model, VideoLLaMA2, Fine-Tuning
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KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
