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cs.LG2025
MNM : Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations
Seunghun Baek, Jaejin Lee, Jaeyoon Sim +2
Various neuroimaging studies suffer from small sample size problem which often limit their reliability. Meta-analysis addresses this challenge by aggregating findings from differen…
cs.CL2025
KLAAD: Refining Attention Mechanisms to Reduce Societal Bias in Generative Language Models
Seorin Kim, Dongyoung Lee, Jaejin Lee
Large language models (LLMs) often exhibit societal biases in their outputs, prompting ethical concerns regarding fairness and harm. In this work, we propose KLAAD (KL-Attention Al…
cs.CR2025
PPMI: Privacy-Preserving LLM Interaction with Socratic Chain-of-Thought Reasoning and Homomorphically Encrypted Vector Databases
Yubeen Bae, Minchan Kim, Jaejin Lee +4
Large language models (LLMs) are increasingly used as personal agents, accessing sensitive user data such as calendars, emails, and medical records. Users currently face a trade-of…