4 papers
Language-Aware Token Boosting: LLM Language Confusion Reduction Without Tuning
Trapoom Ukarapol, Pakhapoom Sarapat, Nut Chukamphaeng
Large language models (LLMs) sometimes exhibit language confusion when generating non-English text. Existing approaches typically rely on fine-tuning to mitigate this issue. In con…
ThaiSafetyBench: Assessing Language Model Safety in Thai Cultural Contexts
Trapoom Ukarapol, Nut Chukamphaeng, Kunat Pipatanakul +1
The safety evaluation of large language models (LLMs) remains largely centered on English, leaving non-English languages and culturally grounded risks underexplored. In this work,…
Improving Text Embeddings for Smaller Language Models Using Contrastive Fine-tuning
Trapoom Ukarapol, Zhicheng Lee, Amy Xin
While Large Language Models show remarkable performance in natural language understanding, their resource-intensive nature makes them less accessible. In contrast, smaller language…
GradeADreamer: Enhanced Text-to-3D Generation Using Gaussian Splatting and Multi-View Diffusion
Trapoom Ukarapol, Kevin Pruvost
Text-to-3D generation has shown promising results, yet common challenges such as the Multi-face Janus problem and extended generation time for high-quality assets. In this paper, w…