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Collections including paper arxiv:2412.09871

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 • 39
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 20

Paper - Multimodal

Paper related to Multimodal Model - Research for a : Modular, Multimodal, Multi-Stream, Mixture of Expert, Universal Transformer, Matryoshka embedding

Flowing from Words to Pixels: A Framework for Cross-Modality Evolution

Paper • 2412.15213 • Published 6 days ago • 25
No More Adam: Learning Rate Scaling at Initialization is All You Need

Paper • 2412.11768 • Published 9 days ago • 41
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Paper • 2412.13663 • Published 7 days ago • 103
Autoregressive Video Generation without Vector Quantization

Paper • 2412.14169 • Published 7 days ago • 13

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3 • 32
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

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

about 1 hour ago

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1 • 21
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1 • 82
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 145
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30 • 25

Papers - Text - Dataset - Classification - Multitask - MMLU

about 1 hour ago

Byte Latent Transformer: Patches Scale Better Than Tokens

Paper • 2412.09871 • Published 13 days ago • 74

Papers - Text - Dataset - Coding - MBPP

about 1 hour ago

Byte Latent Transformer: Patches Scale Better Than Tokens

Paper • 2412.09871 • Published 13 days ago • 74

Papers - Text - Eval - Coding - Python

about 1 hour ago

Byte Latent Transformer: Patches Scale Better Than Tokens

Paper • 2412.09871 • Published 13 days ago • 74

Papers - Embeddings - Bytes - BPB - Larger Patches than BPE

about 1 hour ago

Byte Latent Transformer: Patches Scale Better Than Tokens

Paper • 2412.09871 • Published 13 days ago • 74

Papers - Text - Dataset - Datacomp-LM

about 1 hour ago

Byte Latent Transformer: Patches Scale Better Than Tokens

Paper • 2412.09871 • Published 13 days ago • 74

Papers - Embeddings - Bytes - Tokenizer Free

about 1 hour ago

MrT5: Dynamic Token Merging for Efficient Byte-level Language Models

Paper • 2410.20771 • Published Oct 28 • 3
Byte Latent Transformer: Patches Scale Better Than Tokens

Paper • 2412.09871 • Published 13 days ago • 74

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