activity
20242026
collaborators

7 papers

cs.CL2026

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…

cs.CL2026

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…

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.CL2025

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…

cs.CL2025

AudioJudge: Understanding What Works in Large Audio Model Based Speech Evaluation

Potsawee Manakul, Woody Haosheng Gan, Michael J. Ryan +5

Current speech evaluation suffers from two critical limitations: the need and difficulty of designing specialized systems targeting individual audio characteristics, and poor corre…

cs.CL2025

Enhancing Low-Resource Language and Instruction Following Capabilities of Audio Language Models

Potsawee Manakul, Guangzhi Sun, Warit Sirichotedumrong +2

Audio language models process audio inputs using textual prompts for tasks like speech recognition and audio captioning. Although built on multilingual pre-trained components, most…