Papers by Arsh Keshari

1 papers
Grounded Multimodal In-Context Learning for Product Weight Estimation at Scale in E-commerce (2026.acl-industry)

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Challenge: a large number of e-commerce platforms require manual verification and specialized hardware.
Approach: They propose a multimodal weight estimation framework that uses category-specific exemplars to infer discretized weight buckets.
Outcome: The proposed approach outperforms strong multimodal KNN baselines in accuracy and near-bucket reliability.

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