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DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper β’ 2310.03714 β’ Published β’ 30 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper β’ 2312.10003 β’ Published β’ 35 -
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper β’ 2308.08155 β’ Published β’ 3 -
GAIA: a benchmark for General AI Assistants
Paper β’ 2311.12983 β’ Published β’ 183
Collections
Discover the best community collections!
Collections including paper arxiv:2312.10003
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Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents
Paper β’ 2306.03314 β’ Published β’ 2 -
Agents: An Open-source Framework for Autonomous Language Agents
Paper β’ 2309.07870 β’ Published β’ 41 -
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Paper β’ 2307.16789 β’ Published β’ 98 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper β’ 2312.10003 β’ Published β’ 35
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AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper β’ 2308.08155 β’ Published β’ 3 -
GAIA: a benchmark for General AI Assistants
Paper β’ 2311.12983 β’ Published β’ 183 -
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace
Paper β’ 2303.17580 β’ Published β’ 9 -
More Agents Is All You Need
Paper β’ 2402.05120 β’ Published β’ 51
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Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP
Paper β’ 2212.14024 β’ Published β’ 3 -
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper β’ 2310.03714 β’ Published β’ 30 -
DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines
Paper β’ 2312.13382 β’ Published β’ 3 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper β’ 2312.10003 β’ Published β’ 35
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Communicative Agents for Software Development
Paper β’ 2307.07924 β’ Published β’ 3 -
Self-Refine: Iterative Refinement with Self-Feedback
Paper β’ 2303.17651 β’ Published β’ 2 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper β’ 2312.10003 β’ Published β’ 35 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper β’ 2210.03629 β’ Published β’ 14
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Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Paper β’ 2005.11401 β’ Published β’ 12 -
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Paper β’ 2401.08406 β’ Published β’ 37 -
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Paper β’ 2104.08663 β’ Published β’ 3 -
Precise Zero-Shot Dense Retrieval without Relevance Labels
Paper β’ 2212.10496 β’ Published β’ 2