I received my Ph.D. from the Natural Language Processing and Representation Learning Lab (NRL) at VISTEC, Thailand, where I was supervised by Assoc. Prof. Sarana Nutanong and co-advised by Assoc. Prof. Attapol Rutherford.
PhD Thesis: Resource-Constrained Named Entity Recognition — Contributed a Thai-language dataset for fine-grained nested NER and a bilingual financial NER dataset for the stock market; analyzed the generalization of encoder-based and LLM-based NER models to unseen entity types and new domains; and addressed multilingual text normalization challenges in informal language.
Currently working on LLM-based Retrieval-Augmented Generation (RAG) systems for the medical domain, including RAG pipeline design, evaluation, and post-training optimization of LLMs as part of the ThaiLLM project.
- Thai Nested NER Corpus (Published in ACL2022, Finding)
- LLM-Augmented Prototype Representation for Few-shot Named-Entity Recognition (Published in IEEE Access)
- MultiLexNorm++: A Unified Benchmark and a Generative Model for Lexical Normalization for Asian Languages (Accepted in TALLIP)
- Bilingual Finance NER Dataset: Cross-lingual dataset for Thai/English (Ongoing)
- Thai-English-Financial-NER, Preprocessing
- MultiLexNorm++, Preprocessing
- Thai-NNER, Preprocessing
- ThaiLLM-Information-Query, Preprocessing
Setup, Codabench-MultiLexNorm2026
Website, LinkedIn, Google Scholar, weerayut.b_s20@vistec.ac.th
