Base44 Superagents-AI agent that does it all
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Splat and Replace: 3D Reconstruction with Repetitive Elements
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FlexTok: Resampling Images into 1D Token Sequences of Flexible Length
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HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases
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SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation
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Scaling Diffusion Language Models via Adaptation from Autoregressive Models
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M+: Extending MemoryLLM with Scalable Long-Term Memory
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Skywork Open Reasoner 1 Technical Report
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GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
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More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives
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Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach
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Autoregressive Speech Synthesis without Vector Quantization
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Vision as LoRA
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syftr: Pareto-Optimal Generative AI
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SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
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Gemini Robotics: Bringing AI into the Physical World
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OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks
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One RL to See Them All: Visual Triple Unified Reinforcement Learning
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GiGL: Large-Scale Graph Neural Networks at Snapchat
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From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition
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Model Merging in Pre-training of Large Language Models
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DAPO: An Open-Source LLM Reinforcement Learning System at Scale
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M-RewardBench: Evaluating Reward Models in Multilingual Settings
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Lessons from Defending Gemini Against Indirect Prompt Injections
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G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning
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Progressive Autoregressive Video Diffusion Models
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FastVLM: Efficient Vision Encoding for Vision Language Models
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VGGT: Visual Geometry Grounded Transformer
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Qwen3 Technical Report
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The Leaderboard Illusion
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MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder
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LLMs Get Lost In Multi-Turn Conversation
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A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well
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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 IllusionCohere / Allen Institute for Artificial Intelligence, Massachusetts Institute of Technology, Princeton University, Stanford University, University of Washington, University of Waterloo
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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
