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Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP
Paper • 2212.14024 • Published • 3 -
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 37 -
DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines
Paper • 2312.13382 • Published • 3 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 44
Collections
Discover the best community collections!
Collections including paper arxiv:2308.08155
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Visual In-Context Prompting
Paper • 2311.13601 • Published • 19 -
Textbooks Are All You Need
Paper • 2306.11644 • Published • 149 -
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 10 -
LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models
Paper • 2303.02927 • Published • 3
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Visual In-Context Prompting
Paper • 2311.13601 • Published • 19 -
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 10 -
LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models
Paper • 2303.02927 • Published • 3 -
The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4
Paper • 2311.07361 • Published • 14
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SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving
Paper • 2402.02519 • Published -
Mixtral of Experts
Paper • 2401.04088 • Published • 161 -
Optimal Transport Aggregation for Visual Place Recognition
Paper • 2311.15937 • Published -
GOAT: GO to Any Thing
Paper • 2311.06430 • Published • 16
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Communicative Agents for Software Development
Paper • 2307.07924 • Published • 6 -
Self-Refine: Iterative Refinement with Self-Feedback
Paper • 2303.17651 • Published • 2 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 44 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 30
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DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 37 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 44 -
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 10 -
GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 241
-
Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP
Paper • 2212.14024 • Published • 3 -
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 37 -
DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines
Paper • 2312.13382 • Published • 3 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 44
-
Communicative Agents for Software Development
Paper • 2307.07924 • Published • 6 -
Self-Refine: Iterative Refinement with Self-Feedback
Paper • 2303.17651 • Published • 2 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 44 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 30
-
Visual In-Context Prompting
Paper • 2311.13601 • Published • 19 -
Textbooks Are All You Need
Paper • 2306.11644 • Published • 149 -
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 10 -
LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models
Paper • 2303.02927 • Published • 3
-
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 37 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 44 -
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 10 -
GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 241
-
Visual In-Context Prompting
Paper • 2311.13601 • Published • 19 -
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 10 -
LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models
Paper • 2303.02927 • Published • 3 -
The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4
Paper • 2311.07361 • Published • 14
-
SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving
Paper • 2402.02519 • Published -
Mixtral of Experts
Paper • 2401.04088 • Published • 161 -
Optimal Transport Aggregation for Visual Place Recognition
Paper • 2311.15937 • Published -
GOAT: GO to Any Thing
Paper • 2311.06430 • Published • 16