7 papers
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…
Model Capability Dominates: Inference-Time Optimization Lessons from AIMO 3
Natapong Nitarach
Majority voting over multiple LLM attempts improves mathematical reasoning, but correlated errors limit the effective sample size. A natural fix is to assign different reasoning st…
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 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…
ThaiOCRBench: A Task-Diverse Benchmark for Vision-Language Understanding in Thai
Surapon Nonesung, Teetouch Jaknamon, Sirinya Chaiophat +5
We present ThaiOCRBench, the first comprehensive benchmark for evaluating vision-language models (VLMs) on Thai text-rich visual understanding tasks. Despite recent progress in mul…
DoTA-RAG: Dynamic of Thought Aggregation RAG
Saksorn Ruangtanusak, Natthapath Rungseesiripak, Peerawat Rojratchadakorn +2
In this paper, we introduce DoTA-RAG (Dynamic-of-Thought Aggregation RAG), a retrieval-augmented generation system optimized for high-throughput, large-scale web knowledge indexes.…