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Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model
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PixelFlow: Pixel-Space Generative Models with Flow
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Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning
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SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills
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Gemini: A Family of Highly Capable Multimodal Models
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SmolVLM: Redefining small and efficient multimodal models
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One-Minute Video Generation with Test-Time Training
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Data Scaling Laws for End-to-End Autonomous Driving
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Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme
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MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding
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A Systematic Survey of Automatic Prompt Optimization Techniques
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Scaling Language-Free Visual Representation Learning
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Large Language Models Pass the Turing Test
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XAMBA: SSMs on Edge NPUs
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On the Biology of a Large Language Model
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Alibaba LingmaAgent: Improving Automated Issue Resolution via Comprehensive Repository Exploration
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Qwen2.5-Omni Technical Report
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Neuromorphic Principles for Efficient Large Language Models on Intel Loihi 2
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ExCoT: Optimizing Reasoning for Text-to-SQL with Execution Feedback
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Gemma 3 Technical Report
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Debunking the CUDA Myth Towards GPU-based AI Systems
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The Amazon Nova Family of Models: Technical Report and Model Card
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StepMathAgent: A Step-Wise Agent for Evaluating Mathematical Processes through Tree-of-Error
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Long Context Tuning for Video Generation
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Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
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HunyuanVideo: A Systematic Framework For Large Video Generative Models
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Learning to Search Effective Example Sequences for In-Context Learning
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Gemini Embedding: Generalizable Embeddings from Gemini
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Aya Vision: Expanding the worlds AI can see
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OWLViz: An Open-World Benchmark for Visual Question Answering
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Towards Statistical Factuality Guarantee for Large Vision-Language Models
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Evaluating Nova 2.0 Lite model under Amazon’s Frontier Model Safety Framework
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AI-Instruments: Embodying Prompts as Instruments to Abstract & Reflect Graphical Interface Commands as General-Purpose Tools
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Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
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Muon is Scalable for LLM Training
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MLGym: A New Framework and Benchmark for Advancing AI Research Agents
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AToken: A Unified Tokenizer for Vision
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Qwen2.5-VL Technical Report
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MoBA: Mixture of Block Attention for Long-Context LLMs
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SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?
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GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing Units
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Reviving The Classics: Active Reward Modeling in Large Language Model Alignment
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s1: Simple test-time scaling
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Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming
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Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling
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EmbeddingGemma: Powerful and Lightweight Text Representations
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Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making
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ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario
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MiniMax-01: Scaling Foundation Models with Lightning Attention
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PoAct: Policy and Action Dual-Control Agent for Generalized Applications
