I’m currently an AI Engineer at AI Singapore, NUS. My responsibility is to develop SEA LLMs and benchmarks. 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. During my Ph.D., I was an intern at Amazon, Cambridge, GBR (2022-2023). 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.

My research topics

• Word segmentation (SEFR_CUT, OSKut)
• Multilingual and cross-lingual retrieval systems (RFR, CL-ReLKT, McCrolin, Distil CoT)
• Representation learning (ConGen, DST, SCT)
• Evaluation and benchmarks (SEACrowd, MT CS dataset, TH-EN Benchmark, CHIE)
• Information Extraction: Entity Linking (mReFinED, CFT) and Nested NER (Thai NNER).

News

1. 7 papers accepted at EMNLP’24 (3 main, 2 finding, 2 workshops)!!!
2. 1 paper at the ALVR workshop and 1 paper at the ACL-SRW (as the co-responding author) had been accepted!
3. My latest two papers have been accepted at ACL 2024 (finding), such as a new sentence embedding and a debiasing technique in NLU.
4. My intern project at Amazon, mReFinED, has been published at EMNLP 2023 (finding)!
5. My latest sentence embedding paper, SCT, was accepted at TACL 2023.
6. ConGen accepted at Finding of EMNLP 2022.
7. In Fall 2022, I will intern at Amazon, Cambridge, GBR.
8. CL-ReLKT accepted at Finding of NAACL 2022
9. Thai Nested NER accepted at Finding of ACL 2022