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cs.CY2026
Latent Confidence Alignment for LLM Self-Assessment
Ting-Yu Chen, Tingting Yu, Pei-Cing Huang +3
Confidence calibration in large language models (LLMs) is commonly evaluated by comparing predicted confidence with observed accuracy. However, such approaches do not model item di…
cs.CY2025★ 14 cited
CodEv: An Automated Grading Framework Leveraging Large Language Models for Consistent and Constructive Feedback
En-Qi Tseng, Pei-Cing Huang, Chan Hsu +3
Grading programming assignments is crucial for guiding students to improve their programming skills and coding styles. This study presents an automated grading framework, CodEv, wh…