collaborators

25 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

SEA-NLI: Natural Language Inference as a Lens into Southeast Asian Cultural Understanding

Peerawat Chomphooyod, Jian Gang Ngui, Yosephine Susanto +5

Frontier LLMs perform well in Western contexts, but remain poorly tested on underrepresented cultures such as those in Southeast Asia (SEA). Existing NLI benchmarks are largely Wes…

cs.CL2026

SEA-Embedding: Open and Reproducible Text Embeddings for Southeast Asia

Peerat Limkonchotiwat, Raymond Ng, Sarana Nutanong +1

Text embeddings are fundamental to many downstream applications, making robustness important for real-world NLP. However, most recent state-of-the-art embedding models are not repr…

cs.CL2026

BURMESE-SAN: Burmese NLP Benchmark for Evaluating Large Language Models

Thura Aung, Jann Railey Montalan, Jian Gang Ngui +1

We introduce BURMESE-SAN, the first holistic benchmark that systematically evaluates large language models (LLMs) for Burmese across three core NLP competencies: understanding (NLU…

cs.AI2026

Anthropogenic Regional Adaptation in Multimodal Vision-Language Model

Samuel Cahyawijaya, Peerat Limkonchotiwat, Tack Hwa Wong +45

While the field of vision-language (VL) has achieved remarkable success in integrating visual and textual information across multiple languages and domains, there is still no dedic…