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SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning
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Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching
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SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
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Visual Foresight for Robotic Stow: A Diffusion-Based World Model from Sparse Snapshots
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Iterative Reranking as a Compute-Scaling Method for LLM-based Rankers
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KG-CRAFT: Knowledge graph-based contrastive reasoning with LLMs for enhancing automated fact-checking
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Pattern Discovery with Wide-Lens Analysis and Sharp-Focus Validation
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Autoregressive Image Generation with Masked Bit Modeling
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AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent
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Interpretable Tabular Foundation Models via In-Context Kernel Regression
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RFS: Reinforcement Learning with Residual Flow Steering for Dexterous Manipulation
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Differentiable Semantic ID for Generative Recommendation
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AnyView: Synthesizing Any Novel View in Dynamic Scenes
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MMDeepResearch-Bench: A Benchmark for Multimodal Deep Research Agents
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Internal Representations as Indicators of Hallucinations in Agent Tool Selection
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ELLA: Efficient Lifelong Learning for Adapters
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Talk2Move: Reinforcement Learning for Text-Instructed Object-Level Geometric Transformation in Scenes
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Journey Before Destination: On the importance of Visual Faithfulness in Slow Thinking
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Diffusion Language Model Inference with Monte Carlo Tree Search
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Amazon Ads Multi-Touch Attribution
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Evaluating the Critical Risks of Amazon’s Nova Premier under the Frontier Model Safety Framework
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The Amazon Nova Family of Models: Technical Report and Model Card
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Evaluating Nova 2.0 Lite model under Amazon’s Frontier Model Safety Framework
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Chronos: Learning the Language of Time Series
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AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2seq Model
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DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
