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20222026
most citedIf LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents

14 citations · 18 across the 26 of their papers we have counts for

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Showing 2025Show all

9 papers · 1 filter

cs.RO2025

Commanding Humanoid by Free-form Language: A Large Language Action Model with Unified Motion Vocabulary

Zhirui Liu, Kaiyang Ji, Ke Yang +4

Enabling humanoid robots to follow free-form natural language commands is a critical step toward seamless human-robot interaction and general-purpose embodied AI. However, existing…

cs.LG2025

Geometric-disentangelment Unlearning

Duo Zhou, Yuji Zhang, Tianxin Wei +9

Large language models (LLMs) can internalize private or harmful content, motivating unlearning that removes a forget set while preserving retaining knowledge. However, forgetting u…

cs.AI2025

ERA: Transforming VLMs into Embodied Agents via Embodied Prior Learning and Online Reinforcement Learning

Hanyang Chen, Mark Zhao, Rui Yang +15

Recent advances in embodied AI highlight the potential of vision language models (VLMs) as agents capable of perception, reasoning, and interaction in complex environments. However…

cs.CL2025

CRMWeaver: Building Powerful Business Agent via Agentic RL and Shared Memories

Yilong Lai, Yipin Yang, Ting Liang +4

Recent years have witnessed the rapid development of LLM-based agents, which shed light on using language agents to solve complex real-world problems. A prominent application lies…

cs.LG2025

RLinf: Flexible and Efficient Large-scale Reinforcement Learning via Macro-to-Micro Flow Transformation

Chao Yu, Yuanqing Wang, Zhen Guo +26

Reinforcement learning (RL) has demonstrated immense potential in advancing artificial general intelligence, agentic intelligence, and embodied intelligence. However, the inherent…

cs.CL2025

A Multi-Agent Framework for Mitigating Dialect Biases in Privacy Policy Question-Answering Systems

Đorđe Klisura, Astrid R Bernaga Torres, Anna Karen Gárate-Escamilla +4

Privacy policies inform users about data collection and usage, yet their complexity limits accessibility for diverse populations. Existing Privacy Policy Question Answering (QA) sy…

cs.AI2025

Ten Principles of AI Agent Economics

Ke Yang, ChengXiang Zhai

The rapid rise of AI-based autonomous agents is transforming human society and economic systems, as these entities increasingly exhibit human-like or superhuman intelligence. From…

cs.IR2025

JIR-Arena: The First Benchmark Dataset for Just-in-time Information Recommendation

Ke Yang, Kevin Ros, Shankar Kumar Senthil Kumar +1

Just-in-time Information Recommendation (JIR) is a service designed to deliver the most relevant information precisely when users need it, , addressing their knowledge gaps with mi…

cs.RO2025

DexCtrl: Towards Sim-to-Real Dexterity with Adaptive Controller Learning

Shuqi Zhao, Ke Yang, Yuxin Chen +5

Dexterous manipulation has seen remarkable progress in recent years, with policies capable of executing many complex and contact-rich tasks in simulation. However, transferring the…