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20222026
most citedOn Creating an English-Thai Code-switched Machine Translation in Medical Domain

1 citations · 1 across the 11 of their papers we have counts for

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cs.CL2026

HealMed: Multilingual Evaluation of Large Language Models in Medicine

Yingjian Chen, Fan Gao, Sherry T. Tong +42

We present HealMed, an expert-reviewed benchmark for multilingual evaluation of large language models in medicine. HealMed contains 1,000 examples in each of nine languages, drawn…

cs.CL2026

Med-CoReasoner: Reducing Language Disparities in Medical Reasoning via Language-Informed Co-Reasoning

Fan Gao, Sherry T. Tong, Jiwoong Sohn +11

While reasoning-enhanced large language models perform strongly on English medical tasks, a persistent multilingual gap remains, with substantially weaker reasoning in local langua…

cs.CL2025

Deflanderization for Game Dialogue: Balancing Character Authenticity with Task Execution in LLM-based NPCs

Pasin Buakhaw, Kun Kerdthaisong, Phuree Phenhiran +4

The emergence of large language models (LLMs) has opened new opportunities for creating dynamic non-player characters (NPCs) in gaming environments, enabling both functional task e…

cs.CL2025

Beyond One World: Benchmarking Super Heros in Role-Playing Across Multiversal Contexts

Perapard Ngokpol, Kun Kerdthaisong, Pasin Buakhaw +4

Large language models (LLMs) are increasingly used as role-playing agents, yet their capacity to faithfully and consistently portray version-specific characters -- for example, sup…

cs.CL2025

On the Robustness of Answer Formats in Medical Reasoning Models

Pittawat Taveekitworachai, Natpatchara Pongjirapat, Krittaphas Chaisutyakorn +3

Medical reasoning models (MRMs) achieve superior performance on medical benchmarks compared to medical LLMs; however, high accuracy alone is insufficient for practical deployment.…

cs.CL2024

Can General-Purpose Large Language Models Generalize to English-Thai Machine Translation ?

Jirat Chiaranaipanich, Naiyarat Hanmatheekuna, Jitkapat Sawatphol +6

Large language models (LLMs) perform well on common tasks but struggle with generalization in low-resource and low-computation settings. We examine this limitation by testing vario…

cs.CL2024★ 1 cited

On Creating an English-Thai Code-switched Machine Translation in Medical Domain

Parinthapat Pengpun, Krittamate Tiankanon, Amrest Chinkamol +11

Machine translation (MT) in the medical domain plays a pivotal role in enhancing healthcare quality and disseminating medical knowledge. Despite advancements in English-Thai MT tec…