1 citations · 1 across the 3 of their papers we have counts for
4 papers
Reference-Grounded Data Curation for Instruction-Following Thai-English Machine Translation
Thodsaporn Chay-intr, Krittapad Harnchang, Mahannop +4
Instruction-following machine translation (IF-MT) requires respecting prompt-level rules on terminology, formatting, and register. Rule compliance typically trades off against tran…
SiamGPT: Quality-First Fine-Tuning for Stable Thai Text Generation
Thittipat Pairatsuppawat, Abhibhu Tachaapornchai, Paweekorn Kusolsomboon +5
Open-weights large language models remain difficult to deploy for Thai due to unstable generation under complex instructions, despite strong English performance. To mitigate these…
OpenThaiGPT 1.6 and R1: Thai-Centric Open Source and Reasoning Large Language Models
Sumeth Yuenyong, Thodsaporn Chay-intr, Kobkrit Viriyayudhakorn
We present OpenThaiGPT 1.6 and R1 (OTG-1.6 and OTG-R1), Thai-centric Large Language Models (LLMs) developed through distinct methodologies to enhance generalization and reasoning c…
LLaVAC: Fine-tuning LLaVA as a Multimodal Sentiment Classifier
T. Chay-intr, Y. Chen, K. Viriyayudhakorn +1
We present LLaVAC, a method for constructing a classifier for multimodal sentiment analysis. This method leverages fine-tuning of the Large Language and Vision Assistant (LLaVA) to…