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20242026
most citedExternalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering

6 citations · 10 across the 22 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

User Representation via Cross Multi-source Behavior Pre-training for Mobile Games

Chengqi Yang, Yiran Qiao, Feng Liu +7

User representation pre-training has become a fundamental paradigm for alleviating data sparsity in downstream personalization tasks. However, existing studies predominantly focus…

cs.AI2026

Communication Policy Evolution for Proactive LLM Agents

Xinbei Ma, Jiyang Qiu, Yao Yao +10

LLM agents have rapidly evolved into autonomous systems, yet a persistent information gap remains between users and agents: communication is costly, while users' identical preferen…

cs.AI2026

Plan-MCTS: Plan Exploration for Action Exploitation in Web Navigation

Weiming Zhang, Jihong Wang, Jiamu Zhou +9

Large Language Models (LLMs) have empowered autonomous agents to handle complex web navigation tasks. While recent studies integrate tree search to enhance long-horizon reasoning,…

cs.AI2025

ColorBench: Benchmarking Mobile Agents with Graph-Structured Framework for Complex Long-Horizon Tasks

Yuanyi Song, Heyuan Huang, Qiqiang Lin +9

The rapid advancement of multimodal large language models has enabled agents to operate mobile devices by directly interacting with graphical user interfaces, opening new possibili…

cs.AI2025

OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation

Shengjia Zhang, Junjie Wu, Jiawei Chen +7

Human cognition operates through two complementary modes: fast intuitive thinking and slow deliberate thinking. Vanilla large language models (LLMs) predominantly follow the fast-t…