Author

D. Singh

h-index 0 View on Semantic Scholar

We have 2 of 2 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#artificial intelligence Preprint Oct 2026

SARATHI: Decoupled Data-Free Probing and Adaptive Reconstruction for Structured LLM Pruning

Structured pruning reduces the inference cost of large language models (LLMs) by permanently removing neurons and weight rows, yielding dense, hardware-agnostic speedup. Existing post-training methods couple neuron selection and weight reconstruction through a shared calibration dataset, introducing domain bias and out...

Sankar Behera, Dhruv Singh, Satyadev Ahlawat et al. · 0 citations

#machine learning Preprint Sep 2026

LILA: Calibration-Free Structured Pruning of Large Language Models via Latent Spectral Geometry

Extending LILA to dynamically allocate sparsity budgets via KS-scores yields state-of-the-art generative preservation at moderate compression, while uncovering fundamental single-layer architectural bottlenecks at higher compression regimes.

Sankar Behera, Dhruv Singh, Anshika Agnihotri et al. · 0 citations