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cs.AI2026
When Does Belief-Based Agent Memory Help? Reliability-Conditional Updating and Provenance-Capped Poisoning Defense
Pranav Singh
The paper studies when belief-based memory improves large language model agents, showing that Bayesian belief updating helps mainly when evidence varies in reliability, and propose…
cs.AI2026
RePAIR: Interactive Machine Unlearning through Prompt-Aware Model Repair
Jagadeesh Rachapudi, Pranav Singh, Ritali Vatsi +2
Large language models (LLMs) inherently absorb harmful knowledge, misinformation, and personal data during pretraining on large-scale web corpora, with no native mechanism for sele…