DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper
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2310.03714
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Published
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32
🤖 Agents
Note I'm not a fan of the implementation, but I think the ideas behind DSPy are interesting.
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ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 37
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 3Note The paper that introduced the concept of multi-agents!
GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 186Note GAIA benchmark is the most challenging benchmark for generalist agents, requiring a good web browser, multimodal capabilities, and complex multi-step task solving.
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Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 114 -
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
Paper • 2402.07456 • Published • 41 -
Self-Refine: Iterative Refinement with Self-Feedback
Paper • 2303.17651 • Published • 2 -
Reflexion: Language Agents with Verbal Reinforcement Learning
Paper • 2303.11366 • Published • 4 -
Gorilla: Large Language Model Connected with Massive APIs
Paper • 2305.15334 • Published • 5 -
MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action
Paper • 2303.11381 • Published • 2 -
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace
Paper • 2303.17580 • Published • 10 -
Communicative Agents for Software Development
Paper • 2307.07924 • Published • 4 -
More Agents Is All You Need
Paper • 2402.05120 • Published • 51
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 15Note This paper is the basis for the Thought -> Action -> Observation cycle used in most agent frameworks nowadays.
Executable Code Actions Elicit Better LLM Agents
Paper • 2402.01030 • Published • 30Note Has nice explanations as to why writing agent actions in code is better.
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SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Paper • 2310.06770 • Published • 4 -
Running105🤔📊
Agent Data Analyst
Need to analyze data? Let a Llama-3.1 agent do it for you!
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DynaSaur: Large Language Agents Beyond Predefined Actions
Paper • 2411.01747 • Published • 20 -
ShowUI: One Vision-Language-Action Model for GUI Visual Agent
Paper • 2411.17465 • Published • 76
Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction
Paper • 2412.04454 • Published • 54Note This paper displays much more impressive scores than ShowUI : but the VLMs used are also much larger (7B and 72B vs 2B) and based on the better Qwen2.5 instead of Qwen2.
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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 • 4