MongoDB - Build AI That Scales
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AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data
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An AI System to Help Scientists Write Expert-Level Empirical Software
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Measuring the environmental impact of delivering AI at Google Scale
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Why do LLMs attend to the first token
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Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
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Scaling Data-Constrained Language Models
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Non-preemptive Throughput Maximizationunder Time-varying Capacity
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AlphaEvolve: A coding agent for scientific and algorithmic discovery
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Gemini Robotics: Bringing AI into the Physical World
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Lessons from Defending Gemini Against Indirect Prompt Injections
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Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use
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I-Con: A Unifying Framework for Representation Learning
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LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
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It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization
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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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Gemini: A Family of Highly Capable Multimodal Models
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Gemma 3 Technical Report
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Gemini Embedding: Generalizable Embeddings from Gemini
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EmbeddingGemma: Powerful and Lightweight Text Representations
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Titans: Learning to Memorize at Test Time
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VDB-GPDF: Online Gaussian Process Distance Field with VDB Structure
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OpenVLA: An Open-Source Vision-Language-Action Model
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Generative Image Dynamics
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Gemma: Open Models Based on Gemini Research and Technology
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VideoPoet: A Large Language Model for Zero-Shot Video Generation
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Solving Olympiad Geometry without Human Demonstrations (AlphaGeometry)
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PaLM 2 Technical Report
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RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
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Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language ModelsGoogle / East China Normal University, Singapore Management University, Singapore University of Technology and Design, Southwest Jiaotong University
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Sequential Attention: Making AI Models Leaner and Faster Without Sacrificing Accuracy
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Generative Agents: Interactive Simulacra of Human Behavior
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Synergizing Reasoning and Acting in Language Models
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PaLM: Scaling Language Modeling with Pathways
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AudioLM: A Language Modeling Approach to Audio Generation
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Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
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Discovering faster matrix multiplication algorithms with reinforcement learning
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CLIP-CLOP: CLIP-Guided Collage and Photomontage
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Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
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Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
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Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
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Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
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Training Compute-Optimal Large Language Models
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Competition-Level Code Generation with AlphaCode
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Improving language models by retrieving from trillions of tokens
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Highly accurate protein structure predictionwith AlphaFold
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AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE
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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
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Denoising Diffusion Probabilistic Models
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NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
