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188 skills
3d-llm-injecting-the-3d-world-into-large-language-models-arxiv-2307-12981v2
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a-okvqa-a-benchmark-for-visual-question-answering-using-world-knowledge-arxiv-2206-01718v2
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active-learning-for-convolutional-neural-networks-a-core-set-approach-arxiv-1708-00489v4
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activitynet-a-large-scale-video-benchmark-for-human-activity-understanding-arxiv-1503-02001v3
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allava-harnessing-gpt4v-synthesized-data-for-a-lite-vision-language-model-arxiv-2402-11684v3
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alpaca-a-strong-replicable-instruction-following-model-stanford-alpaca-2023
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an-empirical-study-of-training-self-supervised-vision-transformers-arxiv-2104-02057v2
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anyres-plug-and-play-dynamic-resolution-for-vision-language-models-arxiv-anyres-2024
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are-more-llm-calls-all-you-need-towards-scaling-laws-for-compound-ai-systems-arxiv-2403-02419v2
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asr-whisper-for-video-transcription-arxiv-2212-04356v1
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augmax-adversarial-composition-of-random-augmentations-for-robust-training-arxiv-2110-13771v2
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autoaugment-learning-augmentation-strategies-from-data-arxiv-1805-09501v3
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badge-batch-active-learning-by-diverse-gradient-embeddings-arxiv-1906-03671v2
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beyond-neural-scaling-laws-beating-power-law-scaling-via-data-pruning-arxiv-2206-14486v2
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blink-multimodal-large-language-models-can-see-but-not-perceive-arxiv-2404-12390v2
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cambrian-1-a-fully-open-vision-centric-exploration-of-multimodal-llms-arxiv-2406-16860v1
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cambrian-a-data-centric-benchmark-for-multimodal-ai-arxiv-cambrian-bench-2024
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capsfusion-rethinking-image-text-data-at-scale-arxiv-2310-20550v2
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chameleon-mixed-modal-early-fusion-foundation-models-arxiv-2405-09818v1
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clip-benchmark-a-benchmark-suite-for-evaluation-of-vision-language-models-github-clip-benchmark-2023
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coca-contrastive-captioners-are-image-text-foundation-models-arxiv-2205-01917v2
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coco-captions-constructing-a-large-scale-dataset-for-image-description-arxiv-coco-captions-2015
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coco-microsoft-coco-common-objects-in-context-arxiv-1405-0312v3
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cogagent-a-visual-language-model-for-gui-agents-arxiv-2312-08914v2
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cogvlm-visual-expert-for-pretrained-language-models-arxiv-2311-03079v2
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colorjitter-and-photometric-augmentations-for-clip-training-arxiv-clip-augment-2024
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contrastive-language-image-pre-training-with-knowledge-graphs-arxiv-2210-08901v2
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convnext-v2-co-designing-and-scaling-convnets-with-masked-autoencoders-arxiv-2301-00808v2
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copy-paste-augmentation-for-instance-segmentation-arxiv-2012-07177v2
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coyo-700m-image-text-pair-dataset-github-kakaobrain-coyo-700m
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