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Pritom Kumar Saha

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Articles

Computer Science > Multiagent Systems

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By Pritom Kumar Saha
| arXiv
[Submitted on 1 Aug 2026] Title:HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems View a PDF of the paper titled HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems, by Pritom Saha Akash and 4 other authors View PDF HTML (experimental) Abstract:Content discovery systems depend on relevance judgment for search quality evaluation, but human annotation faces inter-annotator disagreement and scaling costs.
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On Recommending Category: A Cascading Approach

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By Pritom Kumar Saha, Kevin Chen-Chuan, Pritom Saha Akash
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2506.07453] Understanding Cross-Domain Adaptation in Low-Resource Topic Modeling

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By Pritom Kumar Saha, Kevin Chen-Chuan
| arXiv
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