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Executable Code Actions Elicit Better LLM Agents
Paper • 2402.01030 • Published • 192 -
CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion
Paper • 2403.07865 • Published • 1 -
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models
Paper • 2206.00052 • Published • 1 -
CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs
Paper • 2408.02193 • Published • 1
Collections
Discover the best community collections!
Collections including paper arxiv:2402.01030
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ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 34 -
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents
Paper • 2401.00812 • Published • 12 -
DynaSaur: Large Language Agents Beyond Predefined Actions
Paper • 2411.01747 • Published • 37 -
Executable Code Actions Elicit Better LLM Agents
Paper • 2402.01030 • Published • 192
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GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
Paper • 2503.14734 • Published • 7 -
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
Paper • 2401.02117 • Published • 33 -
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
Paper • 2506.01844 • Published • 157 -
Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding
Paper • 2506.16035 • Published • 89
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Executable Code Actions Elicit Better LLM Agents
Paper • 2402.01030 • Published • 192 -
CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion
Paper • 2403.07865 • Published • 1 -
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models
Paper • 2206.00052 • Published • 1 -
CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs
Paper • 2408.02193 • Published • 1
-
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 34 -
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents
Paper • 2401.00812 • Published • 12 -
DynaSaur: Large Language Agents Beyond Predefined Actions
Paper • 2411.01747 • Published • 37 -
Executable Code Actions Elicit Better LLM Agents
Paper • 2402.01030 • Published • 192
-
GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
Paper • 2503.14734 • Published • 7 -
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
Paper • 2401.02117 • Published • 33 -
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
Paper • 2506.01844 • Published • 157 -
Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding
Paper • 2506.16035 • Published • 89