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Pirzada Suhail

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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
Preprint Jul 2026

PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction

Large language models (LLMs) generate text by auto-regressively sampling the next token. This inherently leads to a many-to-many mapping between prompts and responses, complicating the task of inferring prompts from observed outputs. Prior work on LLM inversion frames prompt recovery as a semantic reconstruction task....

Pirzada Suhail, Nagasai Saketh Naidu, Atanu R. Sinha et al. · 0 citations

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