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Collections including paper arxiv:2410.15735

about 10 hours ago

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

Paper • 2402.04252 • Published Feb 6 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 37
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

Training and finetune

AutoTrain: No-code training for state-of-the-art models

Paper • 2410.15735 • Published 11 days ago • 50

AutoTrain: No-code training for state-of-the-art models

Paper • 2410.15735 • Published 11 days ago • 50

Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages

Paper • 2410.16153 • Published 11 days ago • 42
AutoTrain: No-code training for state-of-the-art models

Paper • 2410.15735 • Published 11 days ago • 50
The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio

Paper • 2410.12787 • Published 16 days ago • 30
LEOPARD : A Vision Language Model For Text-Rich Multi-Image Tasks

Paper • 2410.01744 • Published 30 days ago • 23

papers to reading

about 11 hours ago

FrugalNeRF: Fast Convergence for Few-shot Novel View Synthesis without Learned Priors

Paper • 2410.16271 • Published 11 days ago • 79
Baichuan Alignment Technical Report

Paper • 2410.14940 • Published 13 days ago • 46
SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree

Paper • 2410.16268 • Published 11 days ago • 62
AutoTrain: No-code training for state-of-the-art models

Paper • 2410.15735 • Published 11 days ago • 50

AutoTrain: No-code training for state-of-the-art models

Paper • 2410.15735 • Published 11 days ago • 50

about 6 hours ago

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

Paper • 2409.10516 • Published Sep 16 • 37
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse

Paper • 2409.11242 • Published Sep 17 • 5
Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models

Paper • 2409.11136 • Published Sep 17 • 21
On the Diagram of Thought

Paper • 2409.10038 • Published Sep 16 • 11

about 12 hours ago

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3 • 31
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17 • 25
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27 • 121
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17 • 21

Spaces of Interest

AutoTrain: No-code training for state-of-the-art models

Paper • 2410.15735 • Published 11 days ago • 50

about 10 hours ago

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data

Paper • 2404.15653 • Published Apr 24 • 26
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24 • 12
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20 • 45
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Paper • 2405.12981 • Published May 21 • 28

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