Author

Parthiv Chatterjee

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#machine learning Preprint Oct 2026

Action-On-Item Preference Flow: A Shared Event Schema for Predictive and Generative Personalization

A user's movie, news, and dialogue histories differ in their native actions and outputs, yet each interaction supplies evidence that can update user memory. We study whether these histories can train one reusable update mechanism. An action-on-item schema pairs a mapped interaction role with a content embedding, allowi...

Parthiv Chatterjee, Kashish Kanjaria, Vashisth Purani et al. · 0 citations

#machine learning Review Oct 2026

Not All Is Lost: Repairing Lossy User Preference States of Personalization Encoders

Personalization encoders compress evolving interaction histories into preference states used to rank items or condition text generation. A task head operating only on this state can miss useful evidence that remains in the frozen encoder's cached representations for individual timesteps. We study this recoverability ga...

Parthiv Chatterjee, Dhiraj Golhar, Ummesalma Diwan et al. · 0 citations

#artificial intelligence Preprint Jul 2025

Learning Task Mixtures from Task Affinities: A Probabilistic Graphical Model for Supervised Fine-Tuning

This work introduces TaskPGM, a framework for learning continuous task mixtures via an energy-based model over tasks, and shows that the resulting set function is weakly submodular under budget constraints, enabling approximation guarantees for discrete selection variants.

Prateek Chanda, Saral Sureka, Parthiv Chatterjee et al. · 1 citation