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Fine-Grained Post-Training Quantization for Large Vision Language Models with Quantization-Aware Integrated Gradients
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Dropout Robustness and Cognitive Profiling of Transformer Models via Stochastic Inference
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ChopGrad: Pixel-Wise Losses for Latent Video Diffusion via Truncated Backpropagation
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M2P: Improving Visual Foundation Models with Mask-to-Point Weakly-Supervised Learning for Dense Point Tracking
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Process Supervision for Chain-of-Thought Reasoning via Monte Carlo Net Information Gain
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Federated Distributional Reinforcement Learning with Distributional Critic Regularization
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Multi-Source Evidence Fusion for Audio Question Answering
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Discovering Decoupled Functional Modules in Large Language Models
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Intellectual Stewardship: Re-adapting Human Minds for Creative Knowledge Work in the Age of AI
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Symmetry-Reduced Physics-Informed Learning of Tensegrity Dynamics
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Steering Video Diffusion Transformers with Massive Activations
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FailureMem: A Failure-Aware Multimodal Framework for Autonomous Software Repair
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TINA: Text-Free Inversion Attack for Unlearned Text-to-Image Diffusion Models
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CodeScout: An Effective Recipe for Reinforcement Learning of Code Search Agents
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RPMS: Enhancing LLM-Based Embodied Planning through Rule-Augmented Memory Synergy
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Text-to-Stage: Spatial Layouts from Long-form Narratives
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Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control
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Insight-V++: Towards Advanced Long-Chain Visual Reasoning with Multimodal Large Language Models
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Verification and Validation of Physics-Informed Surrogate Component Models for Dynamic Power-System Simulation
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The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning
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Event-Centric Human Value Understanding in News-Domain Texts: An Actor-Conditioned, Multi-Granularity Benchmark
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How do LLMs Compute Verbal Confidence
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Video Understanding: From Geometry and Semantics to Unified Models
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Omni-3DEdit: Generalized Versatile 3D Editing in One-Pass
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Revisiting foundation models for cell instance segmentation
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Physics-Aware Machine Learning for Seismic and Volcanic Signal Interpretation
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VISER: Visually-Informed System for Enhanced Robustness in Open-Set Iris Presentation Attack Detection
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Procedural Generation of Algorithm Discovery Tasks in Machine Learning
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RHYME-XT: A Neural Operator for Spatiotemporal Control Systems
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Mitigating LLM Hallucinations through Domain-Grounded Tiered Retrieval
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Operator-Theoretic Foundations and Policy Gradient Methods for General MDPs with Unbounded Costs
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Edit Spillover as a Probe: Do Image Editing Models Implicitly Understand World Relations?
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Differential Attention-Augmented BiomedCLIP with Asymmetric Focal Optimization for Imbalanced Multi-Label Video Capsule Endoscopy Classification
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DebugLM: Learning Traceable Training Data Provenance for LLMs
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AI-Assisted Goal Setting Improves Goal Progress Through Social Accountability
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Identity as Presence: Towards Appearance and Voice Personalized Joint Audio-Video Generation
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MAED: Mathematical Activation Error Detection for Mitigating Physical Fault Attacks in DNN Inference
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RAMP: Reinforcement Adaptive Mixed Precision Quantization for Efficient On Device LLM Inference
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scicode-lint: Detecting Methodology Bugs in Scientific Python Code with LLM-Generated Patterns
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A Creative Agent is Worth a 64-Token Template
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A Noise Sensitivity Exponent Controls Large Statistical-to-Computational Gaps in Single- and Multi-Index Models
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Differential Privacy in Generative AI Agents: Analysis and Optimal Tradeoffs
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Don't Vibe Code, Do Skele-Code: Interactive No-Code Notebooks for Subject Matter Experts to Build Lower-Cost Agentic Workflows
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Understanding Task Aggregation for Generalizable Ultrasound Foundation Models
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SpiderCam: Low-Power Snapshot Depth from Differential Defocus
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Pretrained Multilingual Transformers Reveal Quantitative Distance Between Human Languages
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Noise-Aware Misclassification Attack Detection in Collaborative DNN Inference
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IndicSafe: A Benchmark for Evaluating Multilingual LLM Safety in South Asia
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Only relative ranks matter in weight-clustered large language models
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SegFly: A 2D-3D-2D Paradigm for Aerial RGB-Thermal Semantic Segmentation at Scale
