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Collections including paper arxiv:2410.18057

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 26
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 13
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 42
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 22

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 146
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20, 2024 • 13
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24, 2024 • 54
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24, 2024 • 47

StdGEN: Semantic-Decomposed 3D Character Generation from Single Images

Paper • 2411.05738 • Published Nov 8, 2024 • 15
A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents

Paper • 2410.22476 • Published Oct 29, 2024 • 26
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents

Paper • 2410.23218 • Published Oct 30, 2024 • 47
Training-free Regional Prompting for Diffusion Transformers

Paper • 2411.02395 • Published Nov 4, 2024 • 25

Papers - Fine-tuning - Machine Unlearning

CLEAR: Character Unlearning in Textual and Visual Modalities

Paper • 2410.18057 • Published Oct 23, 2024 • 201

Papers - Fine-tuning - ResNet

CLEAR: Character Unlearning in Textual and Visual Modalities

Paper • 2410.18057 • Published Oct 23, 2024 • 201

浏览论文收藏

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 609
CLEAR: Character Unlearning in Textual and Visual Modalities

Paper • 2410.18057 • Published Oct 23, 2024 • 201
Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders

Paper • 2410.22366 • Published Oct 28, 2024 • 78
Emu3: Next-Token Prediction is All You Need

Paper • 2409.18869 • Published Sep 27, 2024 • 94

CLEAR: Character Unlearning in Textual and Visual Modalities

Paper • 2410.18057 • Published Oct 23, 2024 • 201
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation

Paper • 2410.23090 • Published Oct 30, 2024 • 54
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective

Paper • 2410.23743 • Published Oct 31, 2024 • 62
"Give Me BF16 or Give Me Death"? Accuracy-Performance Trade-Offs in LLM Quantization

Paper • 2411.02355 • Published Nov 4, 2024 • 48

Dataset model cleaning

CLEAR: Character Unlearning in Textual and Visual Modalities

Paper • 2410.18057 • Published Oct 23, 2024 • 201

PrefixQuant: Static Quantization Beats Dynamic through Prefixed Outliers in LLMs

Paper • 2410.05265 • Published Oct 7, 2024 • 30
MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents

Paper • 2410.03450 • Published Oct 4, 2024 • 36
MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code

Paper • 2410.08196 • Published Oct 10, 2024 • 46
Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow

Paper • 2410.07303 • Published Oct 9, 2024 • 18

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3, 2024 • 33
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17, 2024 • 26
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27, 2024 • 123
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17, 2024 • 22

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