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Collections including paper arxiv:2411.01747

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Paper • 2310.03714 • Published Oct 5, 2023 • 37
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Paper • 2312.10003 • Published Dec 15, 2023 • 44
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework

Paper • 2308.08155 • Published Aug 16, 2023 • 10
GAIA: a benchmark for General AI Assistants

Paper • 2311.12983 • Published Nov 21, 2023 • 241

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Paper • 2503.14734 • Published Mar 18 • 5
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Paper • 2401.02117 • Published Jan 4, 2024 • 33
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Paper • 2506.01844 • Published Jun 2 • 143
Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Paper • 2506.16035 • Published Jun 19 • 88

DynaSaur: Large Language Agents Beyond Predefined Actions

Paper • 2411.01747 • Published Nov 4, 2024 • 37
Executable Code Actions Elicit Better LLM Agents

Paper • 2402.01030 • Published Feb 1, 2024 • 182
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 Jan 1, 2024 • 11

DynaSaur: Large Language Agents Beyond Predefined Actions

Paper • 2411.01747 • Published Nov 4, 2024 • 37
Executable Code Actions Elicit Better LLM Agents

Paper • 2402.01030 • Published Feb 1, 2024 • 182

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 Jan 1, 2024 • 11
DynaSaur: Large Language Agents Beyond Predefined Actions

Paper • 2411.01747 • Published Nov 4, 2024 • 37
GAIA: a benchmark for General AI Assistants

Paper • 2311.12983 • Published Nov 21, 2023 • 241
Executable Code Actions Elicit Better LLM Agents

Paper • 2402.01030 • Published Feb 1, 2024 • 182

Agentic Systems

ReAct: Synergizing Reasoning and Acting in Language Models

Paper • 2210.03629 • Published Oct 6, 2022 • 30
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 Jan 1, 2024 • 11
DynaSaur: Large Language Agents Beyond Predefined Actions

Paper • 2411.01747 • Published Nov 4, 2024 • 37
Executable Code Actions Elicit Better LLM Agents

Paper • 2402.01030 • Published Feb 1, 2024 • 182

Executable Code Actions Elicit Better LLM Agents

Paper • 2402.01030 • Published Feb 1, 2024 • 182
DynaSaur: Large Language Agents Beyond Predefined Actions

Paper • 2411.01747 • Published Nov 4, 2024 • 37
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 Jan 1, 2024 • 11

AI Agents Papers

DynaSaur: Large Language Agents Beyond Predefined Actions

Paper • 2411.01747 • Published Nov 4, 2024 • 37

AI Agents - Beginner

Executable Code Actions Elicit Better LLM Agents

Paper • 2402.01030 • Published Feb 1, 2024 • 182
DynaSaur: Large Language Agents Beyond Predefined Actions

Paper • 2411.01747 • Published Nov 4, 2024 • 37
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 Jan 1, 2024 • 11
ReAct: Synergizing Reasoning and Acting in Language Models

Paper • 2210.03629 • Published Oct 6, 2022 • 30

Agents-are-also-people

Papers I find about creating an agent

DynaSaur: Large Language Agents Beyond Predefined Actions

Paper • 2411.01747 • Published Nov 4, 2024 • 37

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Paper • 2310.03714 • Published Oct 5, 2023 • 37
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Paper • 2312.10003 • Published Dec 15, 2023 • 44
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework

Paper • 2308.08155 • Published Aug 16, 2023 • 10
GAIA: a benchmark for General AI Assistants

Paper • 2311.12983 • Published Nov 21, 2023 • 241

Agentic Systems

ReAct: Synergizing Reasoning and Acting in Language Models

Paper • 2210.03629 • Published Oct 6, 2022 • 30
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 Jan 1, 2024 • 11
DynaSaur: Large Language Agents Beyond Predefined Actions

Paper • 2411.01747 • Published Nov 4, 2024 • 37
Executable Code Actions Elicit Better LLM Agents

Paper • 2402.01030 • Published Feb 1, 2024 • 182

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Paper • 2503.14734 • Published Mar 18 • 5
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Paper • 2401.02117 • Published Jan 4, 2024 • 33
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Paper • 2506.01844 • Published Jun 2 • 143
Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Paper • 2506.16035 • Published Jun 19 • 88

Executable Code Actions Elicit Better LLM Agents

Paper • 2402.01030 • Published Feb 1, 2024 • 182
DynaSaur: Large Language Agents Beyond Predefined Actions

Paper • 2411.01747 • Published Nov 4, 2024 • 37
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 Jan 1, 2024 • 11

DynaSaur: Large Language Agents Beyond Predefined Actions

Paper • 2411.01747 • Published Nov 4, 2024 • 37
Executable Code Actions Elicit Better LLM Agents

Paper • 2402.01030 • Published Feb 1, 2024 • 182
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 Jan 1, 2024 • 11

AI Agents Papers

DynaSaur: Large Language Agents Beyond Predefined Actions

Paper • 2411.01747 • Published Nov 4, 2024 • 37

DynaSaur: Large Language Agents Beyond Predefined Actions

Paper • 2411.01747 • Published Nov 4, 2024 • 37
Executable Code Actions Elicit Better LLM Agents

Paper • 2402.01030 • Published Feb 1, 2024 • 182

AI Agents - Beginner

Executable Code Actions Elicit Better LLM Agents

Paper • 2402.01030 • Published Feb 1, 2024 • 182
DynaSaur: Large Language Agents Beyond Predefined Actions

Paper • 2411.01747 • Published Nov 4, 2024 • 37
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 Jan 1, 2024 • 11
ReAct: Synergizing Reasoning and Acting in Language Models

Paper • 2210.03629 • Published Oct 6, 2022 • 30

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 Jan 1, 2024 • 11
DynaSaur: Large Language Agents Beyond Predefined Actions

Paper • 2411.01747 • Published Nov 4, 2024 • 37
GAIA: a benchmark for General AI Assistants

Paper • 2311.12983 • Published Nov 21, 2023 • 241
Executable Code Actions Elicit Better LLM Agents

Paper • 2402.01030 • Published Feb 1, 2024 • 182

Agents-are-also-people

Papers I find about creating an agent

DynaSaur: Large Language Agents Beyond Predefined Actions

Paper • 2411.01747 • Published Nov 4, 2024 • 37

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