ThaiOCRBench provides a standardized framework for assessing VLMs in low-resource, script-complex settings, and provides actionable insights for improving Thai-language document understanding.

A Thai-script–based orthographic system designed to represent Isan words consistently and systematically. It provides clear rules for writing Isan in a way that supports linguistic research, dataset creation, and AI model training.

A comprehensive guideline for transcribing spoken Isan in a consistent, machine-readable form. It defines rules for segmenting speech, marking tones, representing pronunciation, and handling variations across regions—ensuring high-quality annotations for AI and NLP training.

This work studies how to aggregate granular human feedback into reliable overall judgments, proposing methods tailored for complex evaluation settings such as machine learning systems.