12 papers
CAREF: Calibration-Aware Regularization for Explanation Faithfulness Without Rationale Supervision
Naphat Nithisopa, Teerapong Panboonyuen
We introduce CAREF, a parameter-efficient fine-tuning framework that jointly optimizes predictive accuracy and explanation faithfulness via calibration-aware regularization. At its…
GateKD: Confidence-Gated Closed-Loop Distillation for Robust Reasoning
Kasidit Sermsri, Teerapong Panboonyuen
Distilling multi-step reasoning abilities from large language models (LLMs) into compact student models remains challenging due to noisy rationales, hallucinated supervision, and s…
Foundations and Architectures of Artificial Intelligence for Motor Insurance
Teerapong Panboonyuen
This handbook presents a systematic treatment of the foundations and architectures of artificial intelligence for motor insurance, grounded in large-scale real-world deployment. It…
HOMEY: Heuristic Object Masking with Enhanced YOLO for Property Insurance Risk Detection
Teerapong Panboonyuen
Automated property risk detection is a high-impact yet underexplored frontier in computer vision with direct implications for real estate, underwriting, and insurance operations. W…
HERS: Hidden-Pattern Expert Learning for Risk-Specific Vehicle Damage Adaptation in Diffusion Models
Teerapong Panboonyuen
Recent advances in text-to-image (T2I) diffusion models have enabled increasingly realistic synthesis of vehicle damage, raising concerns about their reliability in automated insur…
Seeing Isn't Always Believing: Analysis of Grad-CAM Faithfulness and Localization Reliability in Lung Cancer CT Classification
Teerapong Panboonyuen
Explainable Artificial Intelligence (XAI) techniques, such as Gradient-weighted Class Activation Mapping (Grad-CAM), have become indispensable for visualizing the reasoning process…