3 papers
cs.CL2026
Large-Language-Models-as-a-Judge in Theory-Agnostic Adaptive Metric-Alignment for Prototypical Networks in Personality Recognition
Jing Jie Tan, Ban-Hoe Kwan, Danny Wee-Kiat Ng +6
Personality recognition has traditionally been constrained by theory-dependent formulations, where models are trained to fit predefined psychological taxonomies rather than uncover…
cs.AI2026
Structure-Aware Robust Counterfactual Explanations via Conditional Gaussian Network Classifiers
Zhan-Yi Liao, Jaewon Yoo, Hao-Tsung Yang +1
Counterfactual explanation (CE) is a core technique in explainable artificial intelligence (XAI), widely used to interpret model decisions and suggest actionable alternatives. This…
cs.AI2026
LLM-Based SQL Generation: Prompting, Self-Refinement, and Adaptive Weighted Majority Voting
Yu-Jie Yang, Hung-Fu Chang, Po-An Chen
Text-to-SQL has emerged as a prominent research area, particularly with the rapid advancement of large language models (LLMs). By enabling users to query databases through natural…