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20232025
most citedPersonal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

31 citations · 35 across the 8 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024

Interactive Visual Assessment for Text-to-Image Generation Models

Xiaoyue Mi, Fan Tang, Juan Cao +5

Visual generation models have achieved remarkable progress in computer graphics applications but still face significant challenges in real-world deployment. Current assessment appr…

cs.CV2024

Visual-Friendly Concept Protection via Selective Adversarial Perturbations

Xiaoyue Mi, Fan Tang, You Wu +3

Personalized concept generation by tuning diffusion models with a few images raises potential legal and ethical concerns regarding privacy and intellectual property rights. Researc…

cs.CV2024★ 1 cited

Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal Models

Xuanyu Lei, Zonghan Yang, Xinrui Chen +2

State-of-the-art Large Multi-Modal Models (LMMs) have demonstrated exceptional capabilities in vision-language tasks. Despite their advanced functionalities, the performances of LM…

cs.AI2024

Towards Unified Alignment Between Agents, Humans, and Environment

Zonghan Yang, An Liu, Zijun Liu +11

The rapid progress of foundation models has led to the prosperity of autonomous agents, which leverage the universal capabilities of foundation models to conduct reasoning, decisio…

cs.HC2024★ 31 cited

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Yuanchun Li, Hao Wen, Weijun Wang +22

Since the advent of personal computing devices, intelligent personal assistants (IPAs) have been one of the key technologies that researchers and engineers have focused on, aiming…