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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 609 -
EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
Paper • 2402.17485 • Published • 191 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 87
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Collections including paper arxiv:2405.17247
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How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 42 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 87 -
Agency Is Frame-Dependent
Paper • 2502.04403 • Published • 21 -
Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models
Paper • 2502.04404 • Published • 21
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SMOTE: Synthetic Minority Over-sampling Technique
Paper • 1106.1813 • Published • 1 -
Scikit-learn: Machine Learning in Python
Paper • 1201.0490 • Published • 1 -
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Paper • 1406.1078 • Published -
Distributed Representations of Sentences and Documents
Paper • 1405.4053 • Published
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A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions
Paper • 2312.08578 • Published • 20 -
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks
Paper • 2312.08583 • Published • 12 -
Vision-Language Models as a Source of Rewards
Paper • 2312.09187 • Published • 14 -
StemGen: A music generation model that listens
Paper • 2312.08723 • Published • 48
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FMViT: A multiple-frequency mixing Vision Transformer
Paper • 2311.05707 • Published • 9 -
DocLLM: A layout-aware generative language model for multimodal document understanding
Paper • 2401.00908 • Published • 181 -
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report
Paper • 2405.00732 • Published • 120 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 87
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DreamLLM: Synergistic Multimodal Comprehension and Creation
Paper • 2309.11499 • Published • 58 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 87 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 131 -
No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding
Paper • 2405.08344 • Published • 15
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Kosmos-2.5: A Multimodal Literate Model
Paper • 2309.11419 • Published • 50 -
Mirasol3B: A Multimodal Autoregressive model for time-aligned and contextual modalities
Paper • 2311.05698 • Published • 14 -
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
Paper • 2311.06242 • Published • 90 -
PolyMaX: General Dense Prediction with Mask Transformer
Paper • 2311.05770 • Published • 11