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Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents
Paper • 2306.03314 • Published • 1 -
Agents: An Open-source Framework for Autonomous Language Agents
Paper • 2309.07870 • Published • 39 -
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Paper • 2307.16789 • Published • 94 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 31
Collections
Discover the best community collections!
Collections including paper arxiv:2312.10003
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The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs
Paper • 2210.14986 • Published • 4 -
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2
Paper • 2311.10702 • Published • 17 -
Large Language Models as Optimizers
Paper • 2309.03409 • Published • 72 -
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Paper • 2309.04269 • Published • 28
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AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 2 -
GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 173 -
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace
Paper • 2303.17580 • Published • 9 -
More Agents Is All You Need
Paper • 2402.05120 • Published • 46
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Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP
Paper • 2212.14024 • Published • 2 -
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 27 -
DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines
Paper • 2312.13382 • Published • 2 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 31
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Communicative Agents for Software Development
Paper • 2307.07924 • Published • 2 -
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 • 31 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 12
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Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP
Paper • 2212.14024 • Published • 2 -
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 27 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 31 -
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 2
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Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Paper • 2005.11401 • Published • 11 -
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Paper • 2401.08406 • Published • 36 -
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Paper • 2104.08663 • Published • 3 -
Precise Zero-Shot Dense Retrieval without Relevance Labels
Paper • 2212.10496 • Published • 1
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Judging LLM-as-a-judge with MT-Bench and Chatbot Arena
Paper • 2306.05685 • Published • 21 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 31 -
Leveraging Large Language Models for NLG Evaluation: A Survey
Paper • 2401.07103 • Published • 4 -
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
Paper • 2310.08491 • Published • 50
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The Impact of Reasoning Step Length on Large Language Models
Paper • 2401.04925 • Published • 15 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 31 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 102