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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
Collections
Discover the best community collections!
Collections including paper arxiv:2310.03714
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Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning
Paper • 2211.04325 • Published • 1 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 24 -
On the Opportunities and Risks of Foundation Models
Paper • 2108.07258 • Published • 1 -
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Paper • 2204.07705 • Published • 2
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SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning
Paper • 2409.05556 • Published • 2 -
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
Paper • 2409.04109 • Published • 48 -
A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?
Paper • 2409.15277 • Published • 38 -
Learning Task Decomposition to Assist Humans in Competitive Programming
Paper • 2406.04604 • Published • 4
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Instruction Pre-Training: Language Models are Supervised Multitask Learners
Paper • 2406.14491 • Published • 95 -
Better & Faster Large Language Models via Multi-token Prediction
Paper • 2404.19737 • Published • 80 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 72 -
The Prompt Report: A Systematic Survey of Prompting Techniques
Paper • 2406.06608 • Published • 68
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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
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Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
Paper • 2310.15123 • Published • 8 -
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
Paper • 2310.13227 • Published • 14 -
LASER: LLM Agent with State-Space Exploration for Web Navigation
Paper • 2309.08172 • Published • 13 -
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 10
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AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 10 -
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 • 11 -
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 37 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 30
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DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines
Paper • 2312.13382 • Published • 3 -
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 37 -
TextGrad: Automatic "Differentiation" via Text
Paper • 2406.07496 • Published • 31
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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 -
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace
Paper • 2303.17580 • Published • 14 -
More Agents Is All You Need
Paper • 2402.05120 • Published • 57
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Black-Box Prompt Optimization: Aligning Large Language Models without Model Training
Paper • 2311.04155 • Published • 1 -
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 37 -
OpenPrompt: An Open-source Framework for Prompt-learning
Paper • 2111.01998 • Published • 1
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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
-
Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
Paper • 2310.15123 • Published • 8 -
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
Paper • 2310.13227 • Published • 14 -
LASER: LLM Agent with State-Space Exploration for Web Navigation
Paper • 2309.08172 • Published • 13 -
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 10
-
Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning
Paper • 2211.04325 • Published • 1 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 24 -
On the Opportunities and Risks of Foundation Models
Paper • 2108.07258 • Published • 1 -
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Paper • 2204.07705 • Published • 2
-
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 10 -
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 • 11 -
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 37 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 30
-
SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning
Paper • 2409.05556 • Published • 2 -
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
Paper • 2409.04109 • Published • 48 -
A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?
Paper • 2409.15277 • Published • 38 -
Learning Task Decomposition to Assist Humans in Competitive Programming
Paper • 2406.04604 • Published • 4
-
DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines
Paper • 2312.13382 • Published • 3 -
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 37 -
TextGrad: Automatic "Differentiation" via Text
Paper • 2406.07496 • Published • 31
-
Instruction Pre-Training: Language Models are Supervised Multitask Learners
Paper • 2406.14491 • Published • 95 -
Better & Faster Large Language Models via Multi-token Prediction
Paper • 2404.19737 • Published • 80 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 72 -
The Prompt Report: A Systematic Survey of Prompting Techniques
Paper • 2406.06608 • Published • 68
-
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 -
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace
Paper • 2303.17580 • Published • 14 -
More Agents Is All You Need
Paper • 2402.05120 • Published • 57
-
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
-
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training
Paper • 2311.04155 • Published • 1 -
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 37 -
OpenPrompt: An Open-source Framework for Prompt-learning
Paper • 2111.01998 • Published • 1