foundation model

Lifelong Autonomous Improvement of Navigation Foundation Models in the Wild CoRL 2024 LLM Augmented LLMs: Expanding Capabilities through Composition ICLR 2024 LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models NAACL 2024 Low-Rank Knowledge Decomposition for Medical Foundation Models CVPR 2024 Low-Resource Vision Challenges for Foundation Models CVPR 2024 M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models EMNLP 2024 MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions ICML 2024 Making Language Models Better Tool Learners with Execution Feedback NAACL 2024 Making Visual Sense of Oracle Bones for You and Me CVPR 2024 Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology CVPR 2024 MathPile: A Billion-Token-Scale Pretraining Corpus for Math NeurIPS 2024 MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts ICLR 2024 Measuring Vision-Language STEM Skills of Neural Models ICLR 2024 MERA: A Comprehensive LLM Evaluation in Russian ACL 2024 MESA: Matching Everything by Segmenting Anything CVPR 2024 MeshXL: Neural Coordinate Field for Generative 3D Foundation Models NeurIPS 2024 MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning NeurIPS 2024 MindAgent: Emergent Gaming Interaction NAACL 2024 Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities CVPR 2024 Mitigating Open-Vocabulary Caption Hallucinations EMNLP 2024 MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training CVPR 2024 Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA NeurIPS 2024 MOMENT: A Family of Open Time-series Foundation Models ICML 2024 MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning WACV 2024 MOSAIC: Modular Foundation Models for Assistive and Interactive Cooking CoRL 2024