Digital Library
Search: "[ keyword: Language Model ]" (20)
Retrieval Model Based on Word Translation Probabilities and the Degree of Association of Query Concept
Jun Gil Kim , Kyung Soon Lee The KIPS Transactions:PartB ,
Vol. 19, No. 3, pp. 183-188,
Jun.
2012
10.3745/KIPSTB.2012.19.3.183
Question Classification Based on Word Association for Question and Answer Archives
Xue Ying Jin , Kyung Soon Lee The KIPS Transactions:PartB ,
Vol. 17, No. 4, pp. 327-332,
Aug.
2010
10.3745/KIPSTB.2010.17.4.327
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
Keywords: Natural Language Processing, Large Language Model, Cryptocurrency, prompt engineering
Optimizing BERT-based Ensembles for Biomedical NER
Kim Jae In, Yoon Seung Won, Cho Jae Eun, Lee Kyu Cheol The Transactions of the Korea Information Processing Society,
Vol. 14, No. 10, pp. 775-784,
Oct.
2025
https://doi.org/10.3745/TKIPS.2025.14.10.775
Keywords: named entity recognition, Biomedical, Ensemble, Language Models, Natural Language Processing
Keywords: named entity recognition, Biomedical, Ensemble, Language Models, Natural Language Processing
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
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
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