I’m currently a Research Fellow at AI Singapore, NUS. My responsibility is to develop and improve SEA LLMs (SEA-LION) and benchmarks (SEA-HELM). My released models are SEA-LIONv3 and WangchanLIONv2. I also helped my team develop SEA-HELM for Thai, i.e., MT-Bench and Thai IF datasets. Moreover, I also work as the main contributor of SEACrowd, a project that collects data in SEA and does many cool SEA research, such as SEACrowd (EMNLP’24) and SEA-VL. In addition to AI Singapore, I am also an invited researcher at Chulalongkorn, Thailand, and the advisory board of SIGSEA.

Before that, I was a Ph.D. student (5-year program) in the Natural Language and Representation Lab (NRL), Information Science and Technology (IST) at VISTEC, Thailand. My advisor and co-advisor were Assoc. Prof. Dr. Sarana Nutanong and Dr. Ekapol Chuangsuwanich, respectively. My research topics are representation and multilingual learnings.

During my Ph.D., I was an intern at Amazon, Cambridge, GBR (2022-2023). I was working with Weiwei Cheng (mentor), Christos Christodoulopoulos, Amir Saffari, Jens Lehmann, and Daniele Masato (PM). I also was a part of the WangchanX project as a Subject Matter Expert (SME) from 2019-2024. Our team developed two Thai large language models: WangchanGLM (based on XGLM) and WangchanLion (based on SeaLION). Moreover, we released a WangchanX toolkit for fine-tuning Thai LLMs. Our team also released the largest Thai instruction dataset in 2024-25.

My research topics

• Word segmentation (SEFR_CUT, OSKut)
• Multilingual and cross-lingual retrieval systems (RFR, CL-ReLKT, McCrolin)
• Large language models (Seed-Free, Distil CoT, xPoT, SEA-LION)
• Representation learning (ConGen, DST, SCT, MixSP)
• Evaluation and benchmarks (SEA-VQA, SEACrowd, MT CS dataset, TH-EN Benchmark, CHIE, SEA-VL, SEA-HELM, Global MMLU, Thai Dialects, WorldCuisines)
• Information Extraction: Entity Linking (mReFinED, CFT) and Nested NER (Thai NNER).

News

1. I just got prompted to be a Research Fellow at AI Singapore. I will mainly focus on research in LLMs and NLP.
2. WorldCuisines receives Best Theme Paper Award at NAACL’25!
3. I just got promoted to be an invited researcher at Chulalongkorn, where I got funded to do research and publish at top-tier conferences and journals.
4. 7 papers accepted at EMNLP’24 (3 main, 2 finding, 2 workshops)!!!
5. 1 paper at the ALVR workshop and 1 paper at the ACL-SRW (as the co-responding author) had been accepted!
6. My latest two papers have been accepted at ACL 2024 (finding), such as a new sentence embedding and a debiasing technique in NLU.
7. My intern project at Amazon, mReFinED, has been published at EMNLP 2023 (finding)!
8. My latest sentence embedding paper, SCT, was accepted at TACL 2023.
9. ConGen accepted at Finding of EMNLP 2022.
10. In Fall 2022, I will intern at Amazon, Cambridge, GBR.
11. CL-ReLKT accepted at Finding of NAACL 2022
12. Thai Nested NER accepted at Finding of ACL 2022