2 papers
cs.AI2026
When Does Belief-Based Agent Memory Help? Reliability-Conditional Updating and Provenance-Capped Poisoning Defense
Pranav Singh
We investigate when belief-based memory actually improves large language model (LLM) agents. Our vehicle is Nous, a long-term memory architecture that represents each entity-attrib…
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…