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Home/Authors/Ayush Maheshwari

Ayush Maheshwari

1 indexed paper

Recent (6 mo)
1
With code
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Publications per year

1
26

Top categories

NLP×1

Frequent co-authors

Palaash Goel1×
Tanmoy Chakraborty1×

Research Timeline

2026
It Takes a MAESTRO To Prune Bad Experts

MAESTRO is a structured pruning framework designed for MoE language models that models autoregressive expert activation trajectories as Ergodic Markov chains, yielding a globally aware importance heuristic, outperforming state-of-the-art baselines by up to 10.61% in average performance retention under a strict 50% compression regime.

Highlighted terms show continued research focus across papers

Papers

cs.CLEmpiricalRecentJul 9, 2026

It Takes a MAESTRO To Prune Bad Experts

Palaash Goel, Ayush Maheshwari, Tanmoy Chakraborty

MAESTRO is a structured pruning framework designed for MoE language models that models autoregressive expert activation trajectories as Ergodic Markov chains, yielding a globally aware importance heur…

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