Collections
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Collections including paper arxiv:2405.02246
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Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 105 -
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 55 -
Make Your LLM Fully Utilize the Context
Paper • 2404.16811 • Published • 53 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 93
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What matters when building vision-language models?
Paper • 2405.02246 • Published • 102 -
MUMU: Bootstrapping Multimodal Image Generation from Text-to-Image Data
Paper • 2406.18790 • Published • 34 -
Building and better understanding vision-language models: insights and future directions
Paper • 2408.12637 • Published • 125 -
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation
Paper • 2408.12528 • Published • 51
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PaliGemma: A versatile 3B VLM for transfer
Paper • 2407.07726 • Published • 68 -
Vision language models are blind
Paper • 2407.06581 • Published • 83 -
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning
Paper • 2404.16994 • Published • 36 -
DeepSeek-VL: Towards Real-World Vision-Language Understanding
Paper • 2403.05525 • Published • 43
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What matters when building vision-language models?
Paper • 2405.02246 • Published • 102 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 87 -
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output
Paper • 2407.03320 • Published • 93 -
Building and better understanding vision-language models: insights and future directions
Paper • 2408.12637 • Published • 125
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Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
Paper • 2406.06525 • Published • 67 -
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning
Paper • 2406.06469 • Published • 25 -
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
Paper • 2406.04271 • Published • 29 -
Block Transformer: Global-to-Local Language Modeling for Fast Inference
Paper • 2406.02657 • Published • 38
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What matters when building vision-language models?
Paper • 2405.02246 • Published • 102 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 87 -
DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark
Paper • 2405.19707 • Published • 7 -
Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations
Paper • 2410.08049 • Published • 8