4 papers
PPE-Bench: A Benchmark for Evaluating MLLM Unlearning under Private-Public Entanglement
Xianren Zhang, Delvin Ce Zhang, Dongwon Lee +1
Multimodal Large Language Models (MLLMs) have shown strong capabilities, but they may memorize private information from web data, raising privacy concerns. Machine unlearning offer…
Intertwined Constraints in Extended Cosmologies: Dark Energy, Curvature, Neutrinos, and Inflation
William Giarè, Dong Ha Lee, Eleonora Di Valentino
We present a systematic reassessment of cosmological constraints beyond CDM by progressively relaxing the assumptions underlying Dark Energy (DE), Curvature, Neutrinos, and Infl…
KronQ: LLM Quantization via Kronecker-Factored Hessian
Donghyun Lee, Yuhang Li, Ruokai Yin +1
Post-training quantization (PTQ) is a widely adopted technique for compressing large language models (LLMs) without retraining. Most existing second-order PTQ methods, including GP…
Evolving Dark Energy Is Vacuum Energy After All
Dong Ha Lee, Carsten van de Bruck, Eleonora Di Valentino +2
We investigate a physically motivated model of dynamical dark energy arising from the non-perturbative topological structure of the Quantum Chromodynamics (QCD) vacuum. The model i…