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Large Language Models as Optimizers
Paper • 2309.03409 • Published • 78 -
GREATERPROMPT: A Unified, Customizable, and High-Performing Open-Source Toolkit for Prompt Optimization
Paper • 2504.03975 • Published -
PromptWizard: Task-Aware Prompt Optimization Framework
Paper • 2405.18369 • Published • 1 -
TAPO: Task-Referenced Adaptation for Prompt Optimization
Paper • 2501.06689 • Published
Collections
Discover the best community collections!
Collections including paper arxiv:2409.13449
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Story-to-Motion: Synthesizing Infinite and Controllable Character Animation from Long Text
Paper • 2311.07446 • Published • 29 -
Mixtures of Experts Unlock Parameter Scaling for Deep RL
Paper • 2402.08609 • Published • 36 -
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Paper • 2408.06292 • Published • 128 -
Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers
Paper • 2408.06195 • Published • 73
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Minstrel: Structural Prompt Generation with Multi-Agents Coordination for Non-AI Experts
Paper • 2409.13449 • Published • 11 -
Large Language Model Agent: A Survey on Methodology, Applications and Challenges
Paper • 2503.21460 • Published • 83 -
Unified Multimodal Discrete Diffusion
Paper • 2503.20853 • Published • 9 -
SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion
Paper • 2503.11576 • Published • 138
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Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment
Paper • 2401.12474 • Published • 36 -
More Agents Is All You Need
Paper • 2402.05120 • Published • 57 -
VideoAgent: Long-form Video Understanding with Large Language Model as Agent
Paper • 2403.10517 • Published • 37 -
Octopus v4: Graph of language models
Paper • 2404.19296 • Published • 118
-
Large Language Models as Optimizers
Paper • 2309.03409 • Published • 78 -
GREATERPROMPT: A Unified, Customizable, and High-Performing Open-Source Toolkit for Prompt Optimization
Paper • 2504.03975 • Published -
PromptWizard: Task-Aware Prompt Optimization Framework
Paper • 2405.18369 • Published • 1 -
TAPO: Task-Referenced Adaptation for Prompt Optimization
Paper • 2501.06689 • Published
-
Minstrel: Structural Prompt Generation with Multi-Agents Coordination for Non-AI Experts
Paper • 2409.13449 • Published • 11 -
Large Language Model Agent: A Survey on Methodology, Applications and Challenges
Paper • 2503.21460 • Published • 83 -
Unified Multimodal Discrete Diffusion
Paper • 2503.20853 • Published • 9 -
SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion
Paper • 2503.11576 • Published • 138
-
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment
Paper • 2401.12474 • Published • 36 -
More Agents Is All You Need
Paper • 2402.05120 • Published • 57 -
VideoAgent: Long-form Video Understanding with Large Language Model as Agent
Paper • 2403.10517 • Published • 37 -
Octopus v4: Graph of language models
Paper • 2404.19296 • Published • 118
-
Story-to-Motion: Synthesizing Infinite and Controllable Character Animation from Long Text
Paper • 2311.07446 • Published • 29 -
Mixtures of Experts Unlock Parameter Scaling for Deep RL
Paper • 2402.08609 • Published • 36 -
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Paper • 2408.06292 • Published • 128 -
Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers
Paper • 2408.06195 • Published • 73