Papers
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Multi-Period Texture Contrast Enhancement for Low-Contrast Wafer Defect Detection and Segmentation
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AEX: Non-Intrusive Multi-Hop Attestation and Provenance for LLM APIs
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High-Fidelity Compression of Seismic Velocity Models via SIREN Auto-Decoders
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MorphSNN: Adaptive Graph Diffusion and Structural Plasticity for Spiking Neural Networks
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Windowed Fourier Propagator: A Frequency-Local Neural Operator for Wave Equations in Inhomogeneous Media
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RegFormer++: An Efficient Large-Scale 3D LiDAR Point Registration Network with Projection-Aware 2D Transformer
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Seeking Physics in Diffusion Noise
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RL-ScanIQA: Reinforcement-Learned Scanpaths for Blind 360°Image Quality Assessment
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Show Me When and Where: Towards Referring Video Object Segmentation in the Wild
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4D Synchronized Fields: Motion-Language Gaussian Splatting for Temporal Scene Understanding
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SemantiCache: Efficient KV Cache Compression via Semantic Chunking and Clustered Merging
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A Physically-Grounded Attack and Adaptive Defense Framework for Real-World Low-Light Image Enhancement
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In-Field 3D Wheat Head Instance Segmentation From TLS Point Clouds Using Deep Learning Without Manual Labels
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Autonomous Agents Coordinating Distributed Discovery Through Emergent Artifact Exchange
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Mind the Shift: Decoding Monetary Policy Stance from FOMC Statements with Large Language Models
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Enhancing LLM Training via Spectral Clipping
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Direct Object-Level Reconstruction via Probabilistic Gaussian Splatting
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Structure-Dependent Regret and Constraint Violation Bounds for Online Convex Optimization with Time-Varying Constraints
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Early Failure Detection and Intervention in Video Diffusion Models
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Personalized Cell Segmentation: Benchmark and Framework for Reference-Guided Cell Type Segmentation
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How Do Medical MLLMs Fail? A Study on Visual Grounding in Medical Images
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Learning-to-Defer with Expert-Conditioned Advice
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ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation
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AvatarForcing: One-Step Streaming Talking Avatars via Local-Future Sliding-Window Denoising
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Data-Driven Physics Embedded Dynamics with Predictive Control and Reinforcement Learning for Quadrupeds
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UAVBench and UAVIT-1M: Benchmarking and Enhancing MLLMs for Low-Altitude UAV Vision-Language Understanding
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On the Nature of Attention Sink that Shapes Decoding Strategy in MLLMs
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State-Dependent Safety Failures in Multi-Turn Language Model Interaction
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Generation of Human Comprehensible Access Control Policies from Audit Logs
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AgroNVILA: Perception-Reasoning Decoupling for Multi-view Agricultural Multimodal Large Language Models
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Localizing and Editing Knowledge in Large Audio-Language Models
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Motivation in Large Language Models
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Refold: Refining Protein Inverse Folding with Efficient Structural Matching and Fusion
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Deconfounded Lifelong Learning for Autonomous Driving via Dynamic Knowledge Spaces
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Exposing Long-Tail Safety Failures in Large Language Models through Efficient Diverse Response Sampling
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M$^2$RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling
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BROTHER: Behavioral Recognition Optimized Through Heterogeneous Ensemble Regularization for Ambivalence and Hesitancy
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AerialVLA: A Vision-Language-Action Model for UAV Navigation via Minimalist End-to-End Control
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Representation Alignment for Just Image Transformers is not Easier than You Think
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HomeGuard: VLM-based Embodied Safeguard for Identifying Contextual Risk in Household Task
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From Specification to Architecture: A Theory Compiler for Knowledge-Guided Machine Learning
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OxyGen: Unified KV Cache Management for Vision-Language-Action Models under Multi-Task Parallelism
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Contests with Spillovers: Incentivizing Content Creation with GenAI
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The Pulse of Motion: Measuring Physical Frame Rate from Visual Dynamics
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LoCAtion: Long-time Collaborative Attention Framework for High Dynamic Range Video Reconstruction
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SPARQ: Spiking Early-Exit Neural Networks for Energy-Efficient Edge AI
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StAR: Segment Anything Reasoner
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Label Noise Cleaning for Supervised Classification via Bernoulli Random Sampling
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From $\boldsymbol{\logπ}$ to $\boldsymbolπ$: Taming Divergence in Soft Clipping via Bilateral Decoupled Decay of Probability Gradient Weight
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WestWorld: A Knowledge-Encoded Scalable Trajectory World Model for Diverse Robotic Systems
