2 papers
cs.CL2026
Are Language Models Sensitive to Morally Irrelevant Distractors?
Andrew Shaw, Christina Hahn, Catherine Rasgaitis +5
With the rapid uptake of large language models (LLMs) across high-stakes settings, it is becoming increasingly important to ensure that LLMs behave in ways that align with human va…
cs.CL2025
Mnemosyne: An Unsupervised, Human-Inspired Long-Term Memory Architecture for Edge-Based LLMs
Aneesh Jonelagadda, Christina Hahn, Haoze Zheng +1
Long-term memory is essential for natural, realistic dialogue. However, current large language model (LLM) memory systems rely on either brute-force context expansion or static ret…