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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

SEA-BED: How Do Embedding Models Represent Southeast Asian Languages?

Wuttikorn Ponwitayarat, Peerat Limkonchotiwat, Raymond Ng +9

Multilingual text embeddings are often assumed to encode meaning in a perspective-independent semantic space, yielding stable similarity judgments across tasks and languages. Our r…

cs.CL2025

SEADialogues: A Multilingual Culturally Grounded Multi-turn Dialogue Dataset on Southeast Asian Languages

Muhammad Dehan Al Kautsar, Aswin Candra, Muhammad Alif Al Hakim +6

Although numerous datasets have been developed to support dialogue systems, most existing chit-chat datasets overlook the cultural nuances inherent in natural human conversations.…

cs.CL2025

Mangosteen: An Open Thai Corpus for Language Model Pretraining

Wannaphong Phatthiyaphaibun, Can Udomcharoenchaikit, Pakpoom Singkorapoom +4

Pre-training data shapes a language model's quality, but raw web text is noisy and demands careful cleaning. Existing large-scale corpora rely on English-centric or language-agnost…

cs.CL2025

Can Group Relative Policy Optimization Improve Thai Legal Reasoning and Question Answering?

Pawitsapak Akarajaradwong, Chompakorn Chaksangchaichot, Pirat Pothavorn +3

The Retrieval-Augmented Generation (RAG) systems' performance on Thai legal question answering is still limited, especially for questions requiring extensive, complex legal reasoni…

cs.CL2025

Explainable Depression Detection using Masked Hard Instance Mining

Patawee Prakrankamanant, Shinji Watanabe, Ekapol Chuangsuwanich

This paper addresses the critical need for improved explainability in text-based depression detection. While offering predictive outcomes, current solutions often overlook the unde…