Author

M. Das

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#machine learning Preprint Sep 2026

PSD: Pseudo Self-Distillation of Memory Representation Capabilities for LLM Agents

Pseudo Self-Distillation is presented, a framework that enables small language models to construct hierarchical memory representations by distilling behavior from a strong black-box oracle through a multi-stage training pipeline, with off-policy PSD achieving the strongest results across most conditions.

Pirzada Suhail, Meng-Lin Xia, Xu-Chao Zhang et al. · 0 citations

Open access May 2026

A Resource-centric Analysis and Optimization of NoSQL Workloads using Distressed Resource Volume Metric

This work proposes and develops an open-source policy simulation framework, LoadStar, which forms a reusable benchmark pipeline for validating policies for resource-centric NoSQL workloads, and defines a resource optimization problem for placing Cosmos DB replicas onto VM nodes, and develops the Luna model for forecast...

Gunika Verma, V. AashutoshA, P. Srinivas et al. · Proceedings of the VLDB Endo... · 0 citations