Derrick Goh Xin Deik — accepted AI-conference papers

2025

MMDocIR: Benchmarking Multimodal Retrieval for Long Documents

Kuicai Dong, Yujing Chang, Derrick Goh Xin Deik, Dexun Li, Ruiming Tang, Yong Liu

EMNLP 2025

Multimodal document retrieval aims to identify and retrieve various forms of multimodal content, such as figures, tables, charts, and layout information from extensive documents. Despite its increasing popularity, there is a notable lack of a comprehensive and robust benchmark to effectively evaluat

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2024

MC-indexing: Effective Long Document Retrieval via Multi-view Content-aware Indexing

Kuicai Dong, Derrick Goh Xin Deik, Yi Quan Lee, Hao Zhang, Xiangyang Li, Cong Zhang +1

EMNLP 2024finding

Long document question answering (DocQA) aims to answer questions from long documents over 10k words. They usually contain content structures such as sections, sub-sections, and paragraph demarcations. However, the indexing methods of long documents remain under-explored, while existing systems gene…

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