Papers by Shiya Huang

1 papers
VaseVQA: Multimodal Agent and Benchmark for Ancient Greek Pottery (2026.findings-eacl)

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Challenge: MLLMs that use domain-specific data are limited in understanding cultural heritage artifacts such as ancient Greek pottery . supervised fine-tuning improves adaptation to domain knowledge, but it struggles with deeper reasoning tasks.
Approach: They propose a visual question-answer tool that augments SFT with reinforcement learning using verifiable rewards.
Outcome: The proposed model outperforms baseline models on reasoning-intensive questions on ancient Greek pottery.

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