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Collections including paper arxiv:2412.08443

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

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 • 15
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 • 41

POINTS1.5: Building a Vision-Language Model towards Real World Applications

Paper • 2412.08443 • Published 15 days ago • 38

MutiModal_Paper

about 3 hours ago

PUMA: Empowering Unified MLLM with Multi-granular Visual Generation

Paper • 2410.13861 • Published Oct 17 • 52
JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation

Paper • 2411.07975 • Published Nov 12 • 27
Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization

Paper • 2411.10442 • Published Nov 15 • 68
Multimodal Autoregressive Pre-training of Large Vision Encoders

Paper • 2411.14402 • Published Nov 21 • 43

Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages

Paper • 2410.16153 • Published Oct 21 • 43
AutoTrain: No-code training for state-of-the-art models

Paper • 2410.15735 • Published Oct 21 • 58
The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio

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

Paper • 2410.01744 • Published Oct 2 • 26

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21 • 57
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17 • 51
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20 • 41
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20 • 52

iVideoGPT: Interactive VideoGPTs are Scalable World Models

Paper • 2405.15223 • Published May 24 • 12
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24 • 53
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 87
Matryoshka Multimodal Models

Paper • 2405.17430 • Published May 27 • 31

FLAME: Factuality-Aware Alignment for Large Language Models

Paper • 2405.01525 • Published May 2 • 24
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Paper • 2405.14333 • Published May 23 • 36
Transformers Can Do Arithmetic with the Right Embeddings

Paper • 2405.17399 • Published May 27 • 52
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture

Paper • 2405.18991 • Published May 29 • 12

Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering

Paper • 2403.09622 • Published Mar 14 • 16
TableGPT2: A Large Multimodal Model with Tabular Data Integration

Paper • 2411.02059 • Published Nov 4 • 5
POINTS1.5: Building a Vision-Language Model towards Real World Applications

Paper • 2412.08443 • Published 15 days ago • 38

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