3 citations · 5 across the 7 of their papers we have counts for
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cs.AI2026
Depth-Aware Sensitivity Analysis of Mixture-of-Experts Models via Magnitude-Based Expert Masking
Pradeep Kumar Sharma, Shantanu Godbole, Hritvik Shrivastava
Mixture-of-Experts (MoE) architectures scale large language models (LLMs) while preserving computational efficiency through sparse activation. Despite their widespread adoption, th…
cs.AI2015★ 1 cited
Taxonomy grounded aggregation of classifiers with different label sets
Amrita Saha, Sathish Indurthi, Shantanu Godbole +2
We describe the problem of aggregating the label predictions of diverse classifiers using a class taxonomy. Such a taxonomy may not have been available or referenced when the indiv…