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Making Reconstruction FID Predictive of Diffusion Generation FID
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Relational Semantic Reasoning on 3D Scene Graphs for Open World Interactive Object Search
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Mining Beyond the Bools: Learning Data Transformations and Temporal Specifications
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The Fragility Of Moral Judgment In Large Language Models
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Scaling Agentic Capabilities, Not Context: Efficient Reinforcement Finetuning for Large Toolspaces
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The Value of Graph-based Encoding in NBA Salary Prediction
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Reinforcement Learning for Power-Flow Network Analysis
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Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction
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OWL: A Novel Approach to Machine Perception During Motion
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SecureRAG-RTL: A Retrieval-Augmented, Multi-Agent, Zero-Shot LLM-Driven Framework for Hardware Vulnerability Detection
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FreeTxt-Vi: A Benchmarked Vietnamese-English Toolkit for Segmentation, Sentiment, and Summarisation
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Improved Scaling Laws via Weak-to-Strong Generalization in Random Feature Ridge Regression
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Parallelization Strategies for Dense LLM Deployment: Navigating Through Application-Specific Tradeoffs and Bottlenecks
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Longitudinal Lesion Inpainting in Brain MRI via 3D Region Aware Diffusion
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Warm Starting State-Space Models with Automata Learning
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Autonomous Algorithm Discovery for Ptychography via Evolutionary LLM Reasoning
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MultiHaystack: Benchmarking Multimodal Retrieval and Reasoning over 40K Images, Videos, and Documents
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Towards Robust Retrieval-Augmented Generation Based on Knowledge Graph: A Comparative Analysis
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Tureis: Transformer-based Unified Resilience for IoT Devices in Smart Homes
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Random Dot Product Graphs as Dynamical Systems: Limitations and Opportunities
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Reasoning Models Struggle to Control their Chains of Thought
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Interpretable Perception and Reasoning for Audiovisual Geolocation
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The Rise of AI in Weather and Climate Information and its Impact on Global Inequality
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Any to Full: Prompting Depth Anything for Depth Completion in One Stage
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Unsupervised domain adaptation for radioisotope identification in gamma spectroscopy
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Cultural Perspectives and Expectations for Generative AI: A Global Survey Approach
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Interpretable Motion Artificat Detection in structural Brain MRI
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LTLGuard: Formalizing LTL Specifications with Compact Language Models and Lightweight Symbolic Reasoning
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Structured Multidimensional Representation Learning for Large Language Models
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Unlocking ImageNet's Multi-Object Nature: Automated Large-Scale Multilabel Annotation
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From Phase Grounding to Intelligent Surgical Narratives
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Revisiting the (Sub)Optimality of Best-of-N for Inference-Time Alignment
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Dynamic Targeting of Satellite Observations Using Supplemental Geostationary Satellite Data and Hierarchical Planning
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Let's Talk, Not Type: An Oral-First Multi-Agent Architecture for Guaraní
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CodeScout: Contextual Problem Statement Enhancement for Software Agents
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NERdME: a Named Entity Recognition Dataset for Indexing Research Artifacts in Code Repositories
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Uni-LVC: A Unified Method for Intra- and Inter-Mode Learned Video Compression
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Full Dynamic Range Sky-Modelling For Image Based Lighting
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MIRACL: A Diverse Meta-Reinforcement Learning for Multi-Objective Multi-Echelon Combinatorial Supply Chain Optimisation
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Score-Guided Proximal Projection: A Unified Geometric Framework for Rectified Flow Editing
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TML-Bench: Benchmark for Data Science Agents on Tabular ML Tasks
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The Spike, the Sparse and the Sink: Anatomy of Massive Activations and Attention Sinks
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On-Policy Self-Distillation for Reasoning CompressionColumbia University, Cornell University, Iowa State University, Princeton University, Rice University, University of Michigan
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A Simple Baseline for Unifying Understanding, Generation, and Editing via Vanilla Next-token Prediction
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OpenFrontier: General Navigation with Visual-Language Grounded FrontiersETH Zurich
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STRUCTUREDAGENT: Planning with AND/OR Trees for Long-Horizon Web Tasks
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AI+HW 2035: Shaping the Next Decade
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FlashAttention-4: Algorithm and Kernel Pipelining Co-Design for Asymmetric Hardware Scaling
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Towards Multimodal Lifelong Understanding: A Dataset and Agentic Baseline
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KARL: Knowledge Agents via Reinforcement Learning
