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cs.CV2026
PalmLeaf-VQA: A Multi-Script Visual Question Answering Benchmark for Historical Palm-Leaf Manuscript Understanding Across Diverse Regions
Nimol Thuon, Jun Du, Panhapin Theang
Historical manuscripts remain largely absent from modern vision-language benchmarks, leaving open how well multimodal large language models (MLLMs) handle culturally diverse, degra…
cs.CL2026
Do MLLMs Really Understand Low-Resource Khmer Documents? A Pilot Study on Khmer Document VQA
Nimol Thuon, Panhapin Theang
Recent multimodal large language models (MLLMs) have advanced document understanding, visual question answering, and text extraction. However, their reliability in low-resource, no…
cs.CL2026
KSE-Web: An Analysis of Hybrid Retrieval and LLM-Assisted Query Expansion for Low-Resource Khmer Semantic Search
Nimol Thuon
As a low-resource language, Khmer presents several retrieval challenges, including limited annotated data, ambiguous word boundaries, weak support in multilingual embedding models,…