Papers: Difference between revisions
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|[[Self-Rewarding Language Models]] || 2024/01/18 || [[arxiv:2401.10020]] || [[Natural Language Processing]] || [[Meta]] || || | |||
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|[[LLM in a flash: Efficient Large Language Model Inference with Limited Memory]] || 2023/12/12 || [[arxiv:2312.11514]]<br>[https://huggingface.co/papers/2312.11514 HuggingFace] || [[Natural Language Processing]] || [[Apple]] || || | |||
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|[[Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation]] || 2023/12/07 || [[arxiv:2311.17117]]<br>[https://humanaigc.github.io/animate-anyone/ Website]<br>[https://www.youtube.com/watch?v=8PCn5hLKNu4 Video]<br>[https://github.com/HumanAIGC/AnimateAnyone GitHub]<br>[https://www.alibabacloud.com/blog/quickly-set-up-a-virtual-clothes-try-on-services-with-pai_600484 Tutorial] || [[Computer Vision]] || [[Alibaba]] || [[Animate Anyone]] || | |||
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|[[MatterGen: a generative model for inorganic materials design]] || 2023/12/06 || [[arxiv:2312.03687]]<br>[https://twitter.com/xie_tian/status/1732798976779595968 Tweet] || [[Materials Science]] || [[Microsoft]] || [[MatterGen]] || | |[[MatterGen: a generative model for inorganic materials design]] || 2023/12/06 || [[arxiv:2312.03687]]<br>[https://twitter.com/xie_tian/status/1732798976779595968 Tweet] || [[Materials Science]] || [[Microsoft]] || [[MatterGen]] || | ||
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|[[Audiobox: Generating audio from voice and natural language prompts]] || 2023/11/30 || [https://ai.meta.com/research/publications/audiobox-unified-audio-generation-with-natural-language-prompts/ Paper]<br>[https://ai.meta.com/blog/audiobox-generating-audio-voice-natural-language-prompts/ Website] || [[Audio]] || [[Meta]] || [[Audiobox]] || | |||
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|[[Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text]] || 2023/11/30 || [[arxiv:2311.18805]] || [[Natural Language Processing]] || [[University of Tokyo]] || [[Scrambled Bench]] || | |||
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|[[MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers]] || 2023/11/27 || [[arxiv:2311.15475]]<br>[https://nihalsid.github.io/mesh-gpt/ Website] || [[Computer Vision]] || || [[MeshGPT]] || | |[[MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers]] || 2023/11/27 || [[arxiv:2311.15475]]<br>[https://nihalsid.github.io/mesh-gpt/ Website] || [[Computer Vision]] || || [[MeshGPT]] || | ||
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|[[Ferret: Refer and Ground Anything Anywhere at Any Granularity]] || 2023/10/11 || [[arxiv:2310.07704]]<br>[https://github.com/apple/ml-ferret GitHub] || [[Multimodal]]<br>[[Natural Language Processing]] || [[Apple]] || [[Ferret]] || | |||
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|[[SeamlessM4T - Massively Multilingual & Multimodal Machine Translation]] || 2023/08/23 || [https://ai.meta.com/research/publications/seamless-m4t/ Paper]<br>[https://ai.meta.com/resources/models-and-libraries/seamless-communication/ Website]<br>[https://www.deepmind.com/blog/rt-2-new-model-translates-vision-and-language-into-action Blogpost]<br>[https://seamless.metademolab.com/ Demo]<br>[https://github.com/facebookresearch/seamless_communication GitHub] || [[Natural Language Processing]] || [[Meta]] || [[SeamlessM4T]] || | |[[SeamlessM4T - Massively Multilingual & Multimodal Machine Translation]] || 2023/08/23 || [https://ai.meta.com/research/publications/seamless-m4t/ Paper]<br>[https://ai.meta.com/resources/models-and-libraries/seamless-communication/ Website]<br>[https://www.deepmind.com/blog/rt-2-new-model-translates-vision-and-language-into-action Blogpost]<br>[https://seamless.metademolab.com/ Demo]<br>[https://github.com/facebookresearch/seamless_communication GitHub] || [[Natural Language Processing]] || [[Meta]] || [[SeamlessM4T]] || |