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20242026
most citedA Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

18 citations · 18 across the 12 of their papers we have counts for

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cs.CR2026

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…