14 papers
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…
Formula-One Prompting: A Composable Equation-First Prefix for Applied Mathematics
Natapong Nitarach, Pittawat Taveekitworachai, Kunat Pipatanakul
This paper introduces Formula Prompting (FP) and Formula-One Prompting (F-1), two single-call methods that elicit governing equations before solving applied-math problems. Chain-of…
FinCoT: Grounding Chain-of-Thought in Expert Financial Reasoning
Natapong Nitarach, Warit Sirichotedumrong, Panop Pitchayarthorn +3
This paper presents FinCoT, a structured chain-of-thought (CoT) prompting framework that embeds domain-specific expert financial reasoning blueprints to guide large language models…
Typhoon-S: Minimal Open Post-Training for Sovereign Large Language Models
Kunat Pipatanakul, Pittawat Taveekitworachai
Large language models (LLMs) have progressed rapidly; however, most state-of-the-art models are trained and evaluated primarily in high-resource languages such as English and Chine…
Typhoon OCR: Open Vision-Language Model For Thai Document Extraction
Surapon Nonesung, Natapong Nitarach, Teetouch Jaknamon +2
Document extraction is a core component of digital workflows, yet existing vision-language models (VLMs) predominantly favor high-resource languages. Thai presents additional chall…
Extending Audio Context for Long-Form Understanding in Large Audio-Language Models
Yuatyong Chaichana, Pittawat Taveekitworachai, Warit Sirichotedumrong +2
Large Audio-Language Models (LALMs) are often constrained by short audio context windows, even when their text backbones support long contexts, limiting long-form audio understandi…