Models
Datasets
Spaces
Posts
Docs
Enterprise
Pricing
Log In
Sign Up

Collections

Discover the best community collections!

Collections including paper arxiv:2504.00999

about 12 hours ago

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

Paper • 2402.04252 • Published Feb 6, 2024 • 28
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 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization

Paper • 2504.00999 • Published 8 days ago • 77
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Paper • 2409.12191 • Published Sep 18, 2024 • 78

MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization

Paper • 2504.00999 • Published 8 days ago • 77
Multi-Token Attention

Paper • 2504.00927 • Published 8 days ago • 39
Scaling Language-Free Visual Representation Learning

Paper • 2504.01017 • Published 8 days ago • 24

interesting work

MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization

Paper • 2504.00999 • Published 8 days ago • 77
Any2Caption:Interpreting Any Condition to Caption for Controllable Video Generation

Paper • 2503.24379 • Published 9 days ago • 71
Exploring the Effect of Reinforcement Learning on Video Understanding: Insights from SEED-Bench-R1

Paper • 2503.24376 • Published 9 days ago • 36
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond

Paper • 2503.21614 • Published 13 days ago • 39

Research Papers/Reviews/Literature

Daily Research papers and review including older relevant content.

Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs

Paper • 2501.18585 • Published Jan 30 • 60
RWKV-7 "Goose" with Expressive Dynamic State Evolution

Paper • 2503.14456 • Published 22 days ago • 137
DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning

Paper • 2503.15265 • Published 21 days ago • 45
Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning

Paper • 2503.15558 • Published 22 days ago • 45

Representation Learning & Generation

Unveiling the Backbone-Optimizer Coupling Bias in Visual Representation Learning

Paper • 2410.06373 • Published Oct 8, 2024 • 34
MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization

Paper • 2504.00999 • Published 8 days ago • 77
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models

Paper • 2503.24235 • Published 9 days ago • 49
MoCha: Towards Movie-Grade Talking Character Synthesis

Paper • 2503.23307 • Published 11 days ago • 107

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 59
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 53
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 43
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 58

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

Paper • 2404.15653 • Published Apr 24, 2024 • 29
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 14
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20, 2024 • 51
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Paper • 2405.12981 • Published May 21, 2024 • 33

Company

TOS Privacy About Jobs

Website

Models Datasets Spaces Pricing Docs