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Collections including paper arxiv:2408.16357

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 • 14
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

TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones

Paper • 2312.16862 • Published Dec 28, 2023 • 30
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action

Paper • 2312.17172 • Published Dec 28, 2023 • 26
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers

Paper • 2401.01974 • Published Jan 3 • 5
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations

Paper • 2401.01885 • Published Jan 3 • 27

Multimodal LLMs

Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22 • 122
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Paper • 2408.11039 • Published Aug 20 • 58
Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming

Paper • 2408.16725 • Published Aug 29 • 52
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

Paper • 2408.15998 • Published Aug 28 • 83

Papers - Multimodal - Alignment Correspondence Policy

Law of Vision Representation in MLLMs

Paper • 2408.16357 • Published Aug 29 • 92

Law of Vision Representation in MLLMs

Paper • 2408.16357 • Published Aug 29 • 92

Law of Vision Representation in MLLMs

Paper • 2408.16357 • Published Aug 29 • 92

Law of Vision Representation in MLLMs

Paper • 2408.16357 • Published Aug 29 • 92
CogVLM2: Visual Language Models for Image and Video Understanding

Paper • 2408.16500 • Published Aug 29 • 56
Learning to Move Like Professional Counter-Strike Players

Paper • 2408.13934 • Published Aug 25 • 22
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22 • 122

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21 • 55
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

Perception and abstraction. Each modality is tokenized and embedded into vectors for model to comprehend.

VILA^2: VILA Augmented VILA

Paper • 2407.17453 • Published Jul 24 • 39
Octopus v4: Graph of language models

Paper • 2404.19296 • Published Apr 30 • 117
Octo-planner: On-device Language Model for Planner-Action Agents

Paper • 2406.18082 • Published Jun 26 • 47
Dolphin: Long Context as a New Modality for Energy-Efficient On-Device Language Models

Paper • 2408.15518 • Published Aug 28 • 42

General Multimodal Learning

about 15 hours ago

Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities

Paper • 2401.14405 • Published Jan 25 • 11
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Paper • 2406.18521 • Published Jun 26 • 28
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations

Paper • 2408.12590 • Published Aug 22 • 34
Law of Vision Representation in MLLMs

Paper • 2408.16357 • Published Aug 29 • 92

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