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Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 17 -
Large Language Models Are Human-Level Prompt Engineers
Paper • 2211.01910 • Published • 1 -
Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 42 -
Large Language Models are Zero-Shot Reasoners
Paper • 2205.11916 • Published • 3
Collections
Discover the best community collections!
Collections including paper arxiv:2406.06608
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A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 257 -
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering
Paper • 2305.03403 • Published • 2 -
The Prompt Report: A Systematic Survey of Prompting Techniques
Paper • 2406.06608 • Published • 67 -
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
Paper • 2402.07927 • Published • 2
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Prompt Engineering a Prompt Engineer
Paper • 2311.05661 • Published • 25 -
A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks
Paper • 2407.12994 • Published -
Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review
Paper • 2310.14735 • Published -
Prompt Design and Engineering: Introduction and Advanced Methods
Paper • 2401.14423 • Published • 1
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Language Models: A Guide for the Perplexed
Paper • 2311.17301 • Published -
The Prompt Report: A Systematic Survey of Prompting Techniques
Paper • 2406.06608 • Published • 67 -
Reinforcement Learning: An Overview
Paper • 2412.05265 • Published • 8 -
A Primer on Large Language Models and their Limitations
Paper • 2412.04503 • Published
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Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities
Paper • 2507.13158 • Published • 23 -
DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering
Paper • 2507.11527 • Published • 32 -
Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models
Paper • 2507.14241 • Published • 17 -
The Prompt Report: A Systematic Survey of Prompting Techniques
Paper • 2406.06608 • Published • 67
-
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 17 -
Large Language Models Are Human-Level Prompt Engineers
Paper • 2211.01910 • Published • 1 -
Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 42 -
Large Language Models are Zero-Shot Reasoners
Paper • 2205.11916 • Published • 3
-
Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities
Paper • 2507.13158 • Published • 23 -
DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering
Paper • 2507.11527 • Published • 32 -
Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models
Paper • 2507.14241 • Published • 17 -
The Prompt Report: A Systematic Survey of Prompting Techniques
Paper • 2406.06608 • Published • 67
-
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 257 -
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering
Paper • 2305.03403 • Published • 2 -
The Prompt Report: A Systematic Survey of Prompting Techniques
Paper • 2406.06608 • Published • 67 -
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
Paper • 2402.07927 • Published • 2
-
Prompt Engineering a Prompt Engineer
Paper • 2311.05661 • Published • 25 -
A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks
Paper • 2407.12994 • Published -
Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review
Paper • 2310.14735 • Published -
Prompt Design and Engineering: Introduction and Advanced Methods
Paper • 2401.14423 • Published • 1
-
Language Models: A Guide for the Perplexed
Paper • 2311.17301 • Published -
The Prompt Report: A Systematic Survey of Prompting Techniques
Paper • 2406.06608 • Published • 67 -
Reinforcement Learning: An Overview
Paper • 2412.05265 • Published • 8 -
A Primer on Large Language Models and their Limitations
Paper • 2412.04503 • Published