About Me
I’m currently a Research Fellow at AI Singapore, NTU. My responsibility is to develop and research around Southeast Asian (SEA) NLP, such as SEA-LION, SEA-HELM, SEA-Guard, and SEA-LION Embedding. Those models are industry-centric and reflect the needs in SEA, including advances in LLMs, safety, and embeddings for RAG. 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 (ACL’25). In addition to AI Singapore, I am also an external researcher at Chulalongkorn University, Thailand, and a member of 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 were 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, CHIE, SEA-HELM, Global MMLU, Thai Dialects, WorldCuisines, WangchanThaiInstruction, BURMESE-SAN, SEA-BED
- Information Extraction: Entity Linking mReFinED, CFT, Thai NNER, LLM-NER
- Safety in AI: Bias in Guardrail models, mLexNorm, SEA-Guard, SEA-SafeguardBench
- Vision and Large Language Model: SEA-VL, Small-CLIP, mCLIP-KD
Contact and Collaboration
- I’m mostly working on SEA languages, models, and benchmarks, such as safety in AI, encoder and decoder models, and generalization benchmarks (i.e., out-of-domain or low-resource languages). And, if you’re looking for a collaborator on these topics, feel free to contact me at peerat(at)aisingapore.org
- AI Singapore is also looking for an intern, an engineer, or a researcher who is passionate about large language models, especially SEA LLMs. Feel free to contact me and attach your CV to the email as well.
News (2026)
- I just released SOTA embedding for SEA called SEA-LION Embedding. It outperforms E5-large and Qwen-Embedding in SEA languages.
- I will organize WiNLP at EMNLP’26 in Budapest, Hungary.
- BURMESE-SAN got accepted at LREC 2026.
News (20XX-2025)
- SEA-LION got accepted to the AACL Main Conference, and it won the Best Resource Award! That made me win 2 *CL awards in a single year!!
- 1 paper got accepted to the EMNLP Main Conference (co-first author): WangchanThaiInstruction.
- 5 papers got accepted at ACL, where 2 main, 2 findings, and 1 LLMSEC@ACL.
- I just got prompted to be a Research Fellow at AI Singapore. I will mainly focus on research in LLMs and NLP.
- WorldCuisines receives Best Theme Paper Award at NAACL’25!
- 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.
- 7 papers accepted at EMNLP’24 (3 main, 2 finding, 2 workshops)!!!
- 4 papers accepted at ACL’24 (2 Findings, 1 SRW, 1 workshop).
- My intern project at Amazon, mReFinED, has been published at EMNLP 2023 (finding)!
- My latest sentence embedding paper, SCT, was accepted at TACL 2023.
- ConGen accepted at Finding of EMNLP 2022.
- In Fall 2022, I will intern at Amazon, Cambridge, GBR.
- CL-ReLKT accepted at Finding of NAACL 2022
- Thai Nested NER accepted at Finding of ACL 2022