Author

Somya Chatterjee

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#artificial intelligence Preprint Sep 2026

AIM: A Privacy-Aware Interoperable Memory Framework for Multi-Agent Multi-User LLM Systems

Traditional large language models (LLMs) are scoped to individual user sessions, limiting their knowledge to a single conversation and preventing them from learning user preferences that evolve over time. Existing agentic memory systems address this limitation but generally operate at the individual-user level, restric...

Zachary Johnson, Nigel Boachie Kumankumah, Somya Chatterjee et al. · 0 citations

Review Aug 2026

Metag: A dataset to build agentic meta-reviewing capabilities

Metag is a dataset to accelerate the development of meta-reviewing agents, specifically to identify changes made to scientific articles during the review-rebuttal process and will enable building methods to empower meta reviewers to quickly identify whether authors have addressed reviewer statements and where in the pa...

Anirudh S. Sundar, Min Chen, Divya Tadimeti et al. · 0 citations

Preprint Aug 2026

Can LLMs Truly Forget? Revealing Unlearning Gaps Through Adversarial Evaluation

Strong standard-metric performance alone is insufficient to establish robustness after unlearning and motivate adversarial stress-testing as a complementary component of unlearning evaluation, showing a substantial gap between clean-query forgetting and adversarial robustness.

A. Gupta, Hima Varshini Surisetty, Sreevidya Bollineni et al. · 1 citation