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Collections including paper arxiv:2405.02246

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

Paper • 2401.00908 • Published Dec 31, 2023 • 182
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 • 49
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing

Paper • 2311.00571 • Published Nov 1, 2023 • 41

Learn: Vision Language Models

What matters when building vision-language models?

Paper • 2405.02246 • Published May 3, 2024 • 102
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22, 2024 • 124

Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15, 2024 • 105
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Paper • 2404.12253 • Published Apr 18, 2024 • 55
Make Your LLM Fully Utilize the Context

Paper • 2404.16811 • Published Apr 25, 2024 • 53
ReFT: Representation Finetuning for Language Models

Paper • 2404.03592 • Published Apr 4, 2024 • 93

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Anychat
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258

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Qwen2.5 Coder Artifacts
Running

873

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QwQ-32B-Preview

QwQ-32B-Preview
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Open LLM Leaderboard

Track, rank and evaluate open LLMs and chatbots

Multi-Modal Model

What matters when building vision-language models?

Paper • 2405.02246 • Published May 3, 2024 • 102
MUMU: Bootstrapping Multimodal Image Generation from Text-to-Image Data

Paper • 2406.18790 • Published Jun 26, 2024 • 34
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22, 2024 • 124
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Paper • 2408.12528 • Published Aug 22, 2024 • 51

Vision-language model (VLMs)

What matters when building vision-language models?

Paper • 2405.02246 • Published May 3, 2024 • 102
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27, 2024 • 87
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output

Paper • 2407.03320 • Published Jul 3, 2024 • 93
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22, 2024 • 124

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Paper • 2406.06525 • Published Jun 10, 2024 • 67
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning

Paper • 2406.06469 • Published Jun 10, 2024 • 25
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

Paper • 2406.04271 • Published Jun 6, 2024 • 29
Block Transformer: Global-to-Local Language Modeling for Fast Inference

Paper • 2406.02657 • Published Jun 4, 2024 • 38

What matters when building vision-language models?

Paper • 2405.02246 • Published May 3, 2024 • 102

What matters when building vision-language models?

Paper • 2405.02246 • Published May 3, 2024 • 102

What matters when building vision-language models?

Paper • 2405.02246 • Published May 3, 2024 • 102
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27, 2024 • 87
DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark

Paper • 2405.19707 • Published May 30, 2024 • 7
Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations

Paper • 2410.08049 • Published Oct 10, 2024 • 8

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