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DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 33 -
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 • 3 -
GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 187
Collections
Discover the best community collections!
Collections including paper arxiv:2402.05120
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 22 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 82 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 145 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
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More Agents Is All You Need
Paper • 2402.05120 • Published • 51 -
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
Paper • 2402.07456 • Published • 42 -
Generative Agents: Interactive Simulacra of Human Behavior
Paper • 2304.03442 • Published • 12 -
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 8
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Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia
Paper • 2312.03664 • Published • 8 -
Generative Agents: Interactive Simulacra of Human Behavior
Paper • 2304.03442 • Published • 12 -
More Agents Is All You Need
Paper • 2402.05120 • Published • 51
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Addition is All You Need for Energy-efficient Language Models
Paper • 2410.00907 • Published • 145 -
Emu3: Next-Token Prediction is All You Need
Paper • 2409.18869 • Published • 94 -
An accurate detection is not all you need to combat label noise in web-noisy datasets
Paper • 2407.05528 • Published • 3 -
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP
Paper • 2407.00402 • Published • 22
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AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 3 -
GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 187 -
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace
Paper • 2303.17580 • Published • 10 -
More Agents Is All You Need
Paper • 2402.05120 • Published • 51
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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 • 33 -
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 • 37
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Communicative Agents for Software Development
Paper • 2307.07924 • Published • 4 -
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace
Paper • 2303.17580 • Published • 10 -
Gorilla: Large Language Model Connected with Massive APIs
Paper • 2305.15334 • Published • 5 -
More Agents Is All You Need
Paper • 2402.05120 • Published • 51