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Dec 27, 2023
Dec 27, 2023
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Collections including paper arxiv:2312.16171
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Jan 1
Jan 1
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Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4
Paper • 2312.16171 • Published • 34 -
UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces
Paper • 2312.15715 • Published • 19 -
Learning Vision from Models Rivals Learning Vision from Data
Paper • 2312.17742 • Published • 15
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Dec 27, 2023
Dec 27, 2023
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Dec 27, 2023
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Apr 21
Apr 21
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The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs
Paper • 2210.14986 • Published • 5 -
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2
Paper • 2311.10702 • Published • 18 -
Large Language Models as Optimizers
Paper • 2309.03409 • Published • 75 -
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Paper • 2309.04269 • Published • 32
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Dec 28, 2023
Dec 28, 2023
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NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation
Paper • 2311.12229 • Published • 26 -
Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4
Paper • 2312.16171 • Published • 34 -
DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models
Paper • 2312.14216 • Published • 10
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Jun 12
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Mar 10
Mar 10
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From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Paper • 2309.04269 • Published • 32 -
FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning
Paper • 2309.04663 • Published • 5 -
Effective Long-Context Scaling of Foundation Models
Paper • 2309.16039 • Published • 30 -
Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts
Paper • 2310.11784 • Published • 10