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Compositional Planning with Jumpy World Models
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Wink: Recovering from Misbehaviors in Coding Agents
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SARAH: Spatially Aware Real-time Agentic Humans
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Image Generation with a Sphere Encoder
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Learning to Reason in 13 Parameters
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An Empirical Study on Noisy Data and LLM Pretraining Loss Divergence
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ReasonCACHE: Teaching LLMs To Reason Without Weight Updates
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Agentic Very Long Video Understanding
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Unified Text-Image Generation with Weakness-Targeted Post-Training
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Learning Latent Action World Models In The Wild
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Agentic Reasoning for Large Language Models
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KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta
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VideoAuto-R1: Video Auto Reasoning via Thinking Once, Answering Twice
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Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers
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GenEval 2: Addressing Benchmark Drift in Text-to-Image Evaluatio
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World Models Can Leverage Human Videos for Dexterous Manipulation
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TUNA: Taming Unified Visual Representations for Native Unified Multimodal Models
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UMA: A Family of Universal Models for Atoms
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MLGym: A New Framework and Benchmark for Advancing AI Research Agents
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The Llama 3 Herd of Models
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The Llama 3 Herd of Model
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DINOv2: Learning Robust Visual Features without Supervision
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Llama 2: Open Foundation and Fine-Tuned Chat Models
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IMAGEBIND: One Embedding Space To Bind Them Al
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Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
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Segment Anything
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LLaMA: Open and Efficient Foundation Language Models
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Toolformer: Language Models Can Teach Themselves to Use Tools
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Flow Matching for Generative Modeling
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wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
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data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
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No Language Left Behind: Scaling Human-Centered Machine TranslationMarta R. Costa-jussà
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OPT: Open Pre-trained Transformer Language Models
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PyTorch: An Imperative Style, High-Performance Deep Learning Library
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RoBERTa: A Robustly Optimized BERT Pretraining Approach
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Mask R-CNN
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Billion-scale similarity search with GPUs
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Bag of Tricks for Efficient Text Classification
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Performance of Large Language Models in Answering Critical Care Medicine Questions
