activity
20232026
most citedMultiverse of Greatness: Generating Story Branches with LLMs

3 citations · 6 across the 17 of their papers we have counts for

collaborators

17 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

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…

cs.CL2026

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…

cs.CL2026

Typhoon ASR Real-time: FastConformer-Transducer for Thai Automatic Speech Recognition

Warit Sirichotedumrong, Adisai Na-Thalang, Potsawee Manakul +3

Large encoder-decoder models like Whisper achieve strong offline transcription but remain impractical for streaming applications due to high latency. However, due to the accessibil…

cs.CL2026

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…

cs.CL2025

Talk Less, Call Right: Enhancing Role-Play LLM Agents with Automatic Prompt Optimization and Role Prompting

Saksorn Ruangtanusak, Pittawat Taveekitworachai, Kunat Pipatanakul

This report investigates approaches for prompting a tool-augmented large language model (LLM) to act as a role-playing dialogue agent in the API track of the Commonsense Persona-gr…