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20232026
most citedPersonal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

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

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Showing 2025Show all

5 papers · 1 filter

cs.AI2025

AgentProg: Empowering Long-Horizon GUI Agents with Program-Guided Context Management

Shizuo Tian, Hao Wen, Yuxuan Chen +6

The rapid development of mobile GUI agents has stimulated growing research interest in long-horizon task automation. However, building agents for these tasks faces a critical bottl…

cs.CL2025

Enhancing Agentic Textual Graph Retrieval with Synthetic Stepwise Supervision

Ge Chang, Jinbo Su, Jiacheng Liu +7

Integrating textual graphs into Large Language Models (LLMs) is promising for complex graph-based QA. However, a key bottleneck is retrieving informative yet compact subgraphs that…

cs.AI2025

GRAIL:Learning to Interact with Large Knowledge Graphs for Retrieval Augmented Reasoning

Ge Chang, Jinbo Su, Jiacheng Liu +7

Large Language Models (LLMs) integrated with Retrieval-Augmented Generation (RAG) techniques have exhibited remarkable performance across a wide range of domains. However, existing…

cs.CR2025

Mobile GUI Agents under Real-world Threats: Are We There Yet?

Guohong Liu, Jialei Ye, Jiacheng Liu +5

Recent years have witnessed a rapid development of mobile GUI agents powered by large language models (LLMs), which can autonomously execute diverse device-control tasks based on n…

cs.AI2025

An Empirical Study of LLM Reasoning Ability Under Strict Output Length Constraint

Yi Sun, Han Wang, Jiaqiang Li +8

Recent work has demonstrated the remarkable potential of Large Language Models (LLMs) in test-time scaling. By making models think before answering, they are able to achieve much h…