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Any-Subgroup Equivariant Networks via Symmetry Breaking
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VeloxNet: Efficient Spatial Gating for Lightweight Embedded Image Classification
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ICLAD: In-Context Learning for Unified Tabular Anomaly Detection Across Supervision Regimes
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Bypassing Document Ingestion: An MCP Approach to Financial Q&A
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Teaching an Agent to Sketch One Part at a Time
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Stochastic Sequential Decision Making over Expanding Networks with Graph Filtering
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Vision Tiny Recursion Model (ViTRM): Parameter-Efficient Image Classification via Recursive State Refinement
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Beyond the Desk: Barriers and Future Opportunities for AI to Assist Scientists in Embodied Physical Tasks
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Which Workloads Belong in Orbit? A Workload-First Framework for Orbital Data Centers Using Semantic Abstraction
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Linear Social Choice with Few Queries: A Moment-Based Approach
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FedAgain: A Trust-Based and Robust Federated Learning Strategy for an Automated Kidney Stone Identification in Ureteroscopy
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Learning to Disprove: Formal Counterexample Generation with Large Language Models
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ItinBench: Benchmarking Planning Across Multiple Cognitive Dimensions with Large Language Models
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Gastric-X: A Multimodal Multi-Phase Benchmark Dataset for Advancing Vision-Language Models in Gastric Cancer Analysis
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ReXInTheWild: A Unified Benchmark for Medical Photograph Understanding
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Inducing Sustained Creativity and Diversity in Large Language Models
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Recognising BSL Fingerspelling in Continuous Signing Sequences
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The Causal Impact of Tool Affordance on Safety Alignment in LLM Agents
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GIP-RAG: An Evidence-Grounded Retrieval-Augmented Framework for Interpretable Gene Interaction and Pathway Impact Analysis
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Depictions of Depression in Generative AI Video Models: A Preliminary Study of OpenAI's Sora 2
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SurfaceXR: Fusing Smartwatch IMUs and Egocentric Hand Pose for Seamless Surface Interactions
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The Efficiency Attenuation Phenomenon: A Computational Challenge to the Language of Thought Hypothesis
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dinov3.seg: Open-Vocabulary Semantic Segmentation with DINOv3
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Hyperagents
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LLM Nepotism in Organizational Governance
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Embedding World Knowledge into Tabular Models: Towards Best Practices for Embedding Pipeline Design
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VC-Soup: Value-Consistency Guided Multi-Value Alignment for Large Language Models
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Concept-to-Pixel: Prompt-Free Universal Medical Image Segmentation
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Towards Infinitely Long Neural Simulations: Self-Refining Neural Surrogate Models for Dynamical Systems
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PC-CrossDiff: Point-Cluster Dual-Level Cross-Modal Differential Attention for Unified 3D Referring and Segmentation
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Harm or Humor: A Multimodal, Multilingual Benchmark for Overt and Covert Harmful Humor
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Evidence Packing for Cross-Domain Image Deepfake Detection with LVLMs
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Grounded Multimodal Retrieval-Augmented Drafting of Radiology Impressions Using Case-Based Similarity Search
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Facial Movement Dynamics Reveal Workload During Complex Multitasking
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Modeling Overlapped Speech with Shuffles
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Attention Sinks Induce Gradient Sinks
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CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-Evolution
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CrowdGaussian: Reconstructing High-Fidelity 3D Gaussians for Human Crowd from a Single Image
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Remote Sensing Image Dehazing: A Systematic Review of Progress, Challenges, and Prospects
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Facts as First Class Objects: Knowledge Objects for Persistent LLM Memory
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Exploring parameter-efficient fine-tuning (PEFT) of billion-parameter vision models with QLoRA and DoRA: insights into generalization for limited-data image classification under a 98:1 test-to-train regime
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ResNet-50 with Class Reweighting and Anatomy-Guided Temporal Decoding for Gastrointestinal Video Analysis
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A Dual Certificate Approach to Sparsity in Infinite-Width Shallow Neural Networks
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Transfer Learning for Contextual Joint Assortment-Pricing under Cross-Market Heterogeneity
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Governed Memory: A Production Architecture for Multi-Agent Workflows
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The Convergence Frontier: Integrating Machine Learning and High Performance Quantum Computing for Next-Generation Drug Discovery
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RangeAD: Fast On-Model Anomaly Detection
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Transparent Fragments Contour Estimation via Visual-Tactile Fusion for Autonomous Reassembly
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LLM-Augmented Computational Phenotyping of Long Covid
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EVA: Aligning Video World Models with Executable Robot Actions via Inverse Dynamics Rewards
