Latest AI/ML Research Papers

This GitHub repository is a curated collection of the latest research papers in Artificial Intelligence and Machine Learning, focusing on key areas such as Computer Vision, Generative AI, Natural Language Processing (NLP), and Multimodal Learning. It features cutting-edge publications from top conferences and journals, offering insights into state-of-the-art methods, models, and techniques. Contributions and suggestions are welcome to help maintain its relevance and comprehensiveness.

Computer Vision

NLP

Generative AI

Multimodal Learning

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📋 Computer Vision

• Segment Anything Model(SAM)
• Segment Anything Model 2(SAM 2)
• Stable Diffusion 3 Large Turbo
• Sapiens
• YOLO v8
• DINOv2: Learning Visual Features without Labels
• High-Resolution Image Synthesis with Latent Diffusion Models
• ConvNeXt: A ConvNet for the 2020s

📋 Natural Language Processing(NLP)

• Llama
• GPT-4
• BERT
• Code Llama
• PaLM: Scaling Language Modeling with Pathways
• FLAN-T5: Scaling Instruction-Finetuned Language Models
• Chain of Thought Prompting Elicits Reasoning in Large Language Models
• Scaling Instruction-Finetuned Language Models