activity
20242026
collaborators

7 papers

cs.CL2026

Exploring Extrinsic and Intrinsic Properties for Effective Reasoning with Code Interpreter

Patomporn Payoungkhamdee, Napat Laosaengpha, Jenta Wonglertsakul +8

Reasoning with a Code Interpreter (CI) has emerged as an effective paradigm for enhancing the reasoning capabilities of large language models (LLMs) through executable computation…

cs.CL2026

DuDi: Dual-Signal Distillation with Cross-Lingual Verbalizer

Patomporn Payoungkhamdee, Tinnakit Udsa, Jian Gang Ngui +3

Small language models (SLMs) are efficient and scalable, but their multilingual capabilities degrade severely at sub-billion scales, especially for Southeast Asian (SEA) languages.…

cs.CL2026

SEATauBench: Progressively Adapting Tool-Agent-User Evaluation Into Low-Resource Southeast Asian Languages

My Chiffon Nguyen, Aulia Adila, Saksorn Ruangtanusak +4

While AI development and evaluation for Southeast Asia (SEA) has grown rapidly, agent capabilities in regional languages are still poorly understood despite its importance to sover…

cs.CL2025

Distilling Multilingual Vision-Language Models: When Smaller Models Stay Multilingual

Sukrit Sriratanawilai, Jhayahgrit Thongwat, Romrawin Chumpu +3

Vision-language models (VLMs) exhibit uneven performance across languages, a problem that is often exacerbated when the model size is reduced. While Knowledge distillation (KD) dem…

cs.LG2025

Exploring Cross-Client Memorization of Training Data in Large Language Models for Federated Learning

Tinnakit Udsa, Can Udomcharoenchaikit, Patomporn Payoungkhamdee +2

Federated learning (FL) enables collaborative training without raw data sharing, but still risks training data memorization. Existing FL memorization detection techniques focus on…

cs.CL2025

Towards Better Understanding of Program-of-Thought Reasoning in Cross-Lingual and Multilingual Environments

Patomporn Payoungkhamdee, Pume Tuchinda, Jinheon Baek +6

Multi-step reasoning is essential for large language models (LLMs), yet multilingual performance remains challenging. While Chain-of-Thought (CoT) prompting improves reasoning, it…

cs.CL2024

WangchanLion and WangchanX MRC Eval

Wannaphong Phatthiyaphaibun, Surapon Nonesung, Patomporn Payoungkhamdee +6

This technical report describes the development of WangchanLion, an instruction fine-tuned model focusing on Machine Reading Comprehension (MRC) in the Thai language. Our model is…