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Enhancing Multi-Corpus Training in SSL-Based Anti-Spoofing Models: Domain-Invariant Feature Extraction
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Multimodal Model for Computational Pathology:Representation Learning and Image Compression
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Thinking with Constructions: A Benchmark and Policy Optimization for Visual-Text Interleaved Geometric Reasoning
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Towards High-Quality Image Segmentation: Improving Topology Accuracy by Penalizing Neighbor Pixels
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MANAR: Memory-augmented Attention with Navigational Abstract Conceptual Representation
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Cognitive Amplification vs Cognitive Delegation in Human-AI Systems: A Metric Framework
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Words at Play: Benchmarking Audio Pun Understanding in Large Audio-Language Models
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Revisiting Label Inference Attacks in Vertical Federated Learning: Why They Are Vulnerable and How to Defend
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HISR: Hindsight Information Modulated Segmental Process Rewards For Multi-turn Agentic Reinforcement Learning
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STEP: Scientific Time-Series Encoder Pretraining via Cross-Domain Distillation
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Voice Privacy from an Attribute-based Perspective
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OCP: Orthogonal Constrained Projection for Sparse Scaling in Industrial Commodity Recommendation
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Spectral Tempering for Embedding Compression in Dense Passage Retrieval
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Off-Policy Learning with Limited Supply
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From ex(p) to poly: Gaussian Splatting with Polynomial Kernels
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Accurate and Efficient Multi-Channel Time Series Forecasting via Sparse Attention Mechanism
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Holter-to-Sleep: AI-Enabled Repurposing of Single-Lead ECG for Sleep Phenotyping
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MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution
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Ontology-Guided Diffusion for Zero-Shot Visual Sim2Real Transfer
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Analysis Of Linguistic Stereotypes in Single and Multi-Agent Generative AI Architectures
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CausalRM: Causal-Theoretic Reward Modeling for RLHF from Observational User Feedbacks
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EdgeCrafter: Compact ViTs for Edge Dense Prediction via Task-Specialized Distillation
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Measuring and Exploiting Confirmation Bias in LLM-Assisted Security Code Review
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6Bit-Diffusion: Inference-Time Mixed-Precision Quantization for Video Diffusion Models
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Memento-Skills: Let Agents Design Agents
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Automatic detection of Gen-AI texts: A comparative framework of neural models
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WeNLEX: Weakly Supervised Natural Language Explanations for Multilabel Chest X-ray Classification
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Are complicated loss functions necessary for teaching LLMs to reason?
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InjectFlow: Weak Guides Strong via Orthogonal Injection for Flow Matching
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DA-Mamba: Learning Domain-Aware State Space Model for Global-Local Alignment in Domain Adaptive Object Detection
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Dual-Model Prediction of Affective Engagement and Vocal Attractiveness from Speaker Expressiveness in Video Learning
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NeuroGame Transformer: Gibbs-Inspired Attention Driven by Game Theory and Statistical Physics
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ClawTrap: A MITM-Based Red-Teaming Framework for Real-World OpenClaw Security Evaluation
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ProCal: Probability Calibration for Neighborhood-Guided Source-Free Domain Adaptation
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Implicit Grading Bias in Large Language Models: How Writing Style Affects Automated Assessment Across Math, Programming, and Essay Tasks
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Enhancing the Parameterization of Reservoir Properties for Data Assimilation Using Deep VAE-GAN
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A Concept is More Than a Word: Diversified Unlearning in Text-to-Image Diffusion Models
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Automatic Configuration of LLM Post-Training Pipelines
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SEAR: Simple and Efficient Adaptation of Visual Geometric Transformers for RGB+Thermal 3D Reconstruction
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SRRM: Improving Recursive Transport Surrogates in the Small-Discrepancy Regime
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Points-to-3D: Structure-Aware 3D Generation with Point Cloud Priors
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Proceedings of the 2nd Workshop on Advancing Artificial Intelligence through Theory of Mind
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Mi:dm K 2.5 Pro
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Rethinking Uncertainty Quantification and Entanglement in Image Segmentation
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Functional Subspace Watermarking for Large Language Models
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Perceptio: Perception Enhanced Vision Language Models via Spatial Token Generation
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VesselTok: Tokenizing Vessel-like 3D Biomedical Graph Representations for Reconstruction and Generation
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Signals of Success and Struggle: Early Prediction and Physiological Signatures of Human Performance across Task Complexity
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dTRPO: Trajectory Reduction in Policy Optimization of Diffusion Large Language Models
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Can LLM generate interesting mathematical research problems?
