2 citations · 6 across the 9 of their papers we have counts for
4 papers · 1 filter
Evaluating LLMs for Police Decision-Making: A Framework Based on Police Action Scenarios
Sangyub Lee, Heedou Kim, Hyeoncheol Kim
The use of Large Language Models (LLMs) in police operations is growing, yet an evaluation framework tailored to police operations remains absent. While LLM's responses may not alw…
From Prediction to Application: Language Model-based Code Knowledge Tracing with Domain Adaptive Pre-Training and Automatic Feedback System with Pedagogical Prompting for Comprehensive Programming Education
Unggi Lee, Jiyeong Bae, Yeonji Jung +9
Knowledge Tracing (KT) is a critical component in online learning, but traditional approaches face limitations in interpretability and cross-domain adaptability. This paper introdu…
Language Model Can Do Knowledge Tracing: Simple but Effective Method to Integrate Language Model and Knowledge Tracing Task
Unggi Lee, Jiyeong Bae, Dohee Kim +6
Knowledge Tracing (KT) is a critical task in online learning for modeling student knowledge over time. Despite the success of deep learning-based KT models, which rely on sequences…
Difficulty-Focused Contrastive Learning for Knowledge Tracing with a Large Language Model-Based Difficulty Prediction
Unggi Lee, Sungjun Yoon, Joon Seo Yun +4
This paper presents novel techniques for enhancing the performance of knowledge tracing (KT) models by focusing on the crucial factor of question and concept difficulty level. Desp…