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Shikhar Mohan

2 accepted papers

2025

MOGIC: Metadata-infused Oracle Guidance for Improved Extreme Classification

ICML 2025poster

Retrieval-augmented classification and generation models benefit from *early-stage fusion* of high-quality text-based metadata, often called memory, but face high latency and noise sensitivity. In extreme classification (XC), where low latency is crucial, existing methods use *late-stage fusion* for…

2024

OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification

ICML 2024poster

The objective in eXtreme Classification (XC) is to find relevant labels for a document from an exceptionally large label space. Most XC application scenarios have rich auxiliary data associated with the input documents, e.g., frequently clicked webpages for search queries in sponsored search. Unfort…

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