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Collections including paper arxiv:2501.05453

DocLLM: A layout-aware generative language model for multimodal document understanding

Paper • 2401.00908 • Published Dec 31, 2023 • 181
COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training

Paper • 2401.00849 • Published Jan 1, 2024 • 17
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents

Paper • 2311.05437 • Published Nov 9, 2023 • 48
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing

Paper • 2311.00571 • Published Nov 1, 2023 • 40

An Empirical Study of Autoregressive Pre-training from Videos

Paper • 2501.05453 • Published 26 days ago • 37

Multimodal-Grounding

Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models

Paper • 2501.05767 • Published 25 days ago • 28
An Empirical Study of Autoregressive Pre-training from Videos

Paper • 2501.05453 • Published 26 days ago • 37
Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

Paper • 2501.04001 • Published 28 days ago • 42

Foundation Models Empirical Analysis

An Empirical Study of Autoregressive Pre-training from Videos

Paper • 2501.05453 • Published 26 days ago • 37
LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs

Paper • 2501.06186 • Published 25 days ago • 60
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains

Paper • 2501.05707 • Published 25 days ago • 19

An Empirical Study of Autoregressive Pre-training from Videos

Paper • 2501.05453 • Published 26 days ago • 37

An Empirical Study of Autoregressive Pre-training from Videos

Paper • 2501.05453 • Published 26 days ago • 37

Image-Video General Tasks

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

Paper • 2501.04001 • Published 28 days ago • 42
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Paper • 2501.03895 • Published 28 days ago • 48
An Empirical Study of Autoregressive Pre-training from Videos

Paper • 2501.05453 • Published 26 days ago • 37
MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Paper • 2501.07556 • Published 22 days ago • 5

2025 LLM Papers on Hugging Face with Japanese Memos

about 18 hours ago

MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models

Paper • 2501.02955 • Published 29 days ago • 40
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

Paper • 2501.00958 • Published Jan 1 • 99
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding

Paper • 2501.12380 • Published 14 days ago • 81
VideoWorld: Exploring Knowledge Learning from Unlabeled Videos

Paper • 2501.09781 • Published 19 days ago • 24

Video Creation by Demonstration

Paper • 2412.09551 • Published Dec 12, 2024 • 9
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation

Paper • 2412.07589 • Published Dec 10, 2024 • 45
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation

Paper • 2412.06531 • Published Dec 9, 2024 • 71
APOLLO: SGD-like Memory, AdamW-level Performance

Paper • 2412.05270 • Published Dec 6, 2024 • 38

How to Synthesize Text Data without Model Collapse?

Paper • 2412.14689 • Published Dec 19, 2024 • 48
SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator

Paper • 2412.12094 • Published Dec 16, 2024 • 10
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

Paper • 2306.07691 • Published Jun 13, 2023 • 6
iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform

Paper • 2203.02395 • Published Mar 4, 2022

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