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Command A: An Enterprise-Ready Large Language Model
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InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction Features
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Investigating the Overlooked Hessian Structure: From CNNs to LLMs
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The Leaderboard Illusion
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Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use
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Perception Encoder: The best visual embeddings are not at the output of the network
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Kimi-Audio Technical Report
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Describe Anything: Detailed Localized Image and Video Captioning
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LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
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UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing
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Depth Pro: Sharp Monocular Metric Depth in Less Than a Second
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How Does Critical Batch Size Scale in Pre-training?
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Representation Engineering for Large-Language Models: Survey and Research Challenges
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FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving
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InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal ModelsSenseTime / Fudan University, Nanjing University, Shanghai Jiao Tong University, The Chinese University of Hong Kong, Tsinghua University
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It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization
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ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
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ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities
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How new data permeates LLM knowledge and how to dilute it
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Migrating Code At Scale With LLMs At Google
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VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks
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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
