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Aligning What EEG Can See: Structural Representations for Brain-Vision Matching
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CoTJudger: A Graph-Driven Framework for Automatic Evaluation of Chain-of-Thought Efficiency and Redundancy in LRMs
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Entropy-Aware On-Policy Distillation of Language Models
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VLN-Cache: Enabling Token Caching for VLN Models with Visual/Semantic Dynamics Awareness
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Dreamer-CDP: Improving Reconstruction-free World Models Via Continuous Deterministic Representation Prediction
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Countdown-Code: A Testbed for Studying The Emergence and Generalization of Reward Hacking in RLVR
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mAVE: A Watermark for Joint Audio-Visual Generation Models
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Statistical Contraction for Chance-Constrained Trajectory Optimization of Non-Gaussian Stochastic Systems
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Facial Expression Generation Aligned with Human Preference for Natural Dyadic Interaction
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NuNext: Reframing Nucleus Detection as Next-Point Detection
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Grounding Machine Creativity in Game Design Knowledge Representations: Empirical Probing of LLM-Based Executable Synthesis of Goal Playable Patterns under Structural Constraints
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Efficient Personalized Reranking with Semi-Autoregressive Generation and Online Knowledge Distillation
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Deep Generative Spatiotemporal Engression for Probabilistic Forecasting of Epidemics
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Vision Language Models Cannot Reason About Physical Transformation
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Enhancing Consistency of Werewolf AI through Dialogue Summarization and Persona Information
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Efficient Chest X-ray Representation Learning via Semantic-Partitioned Contrastive Learning
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aCAPTCHA: Verifying That an Entity Is a Capable Agent via Asymmetric Hardness
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Turn: A Language for Agentic Computation
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TIQA: Human-Aligned Text Quality Assessment in Generated Images
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Inter-Image Pixel Shuffling for Multi-focus Image Fusion
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Combining Adam and its Inverse Counterpart to Enhance Generalization of Deep Learning Optimizers
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Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge
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The Model Knows Which Tokens Matter: Automatic Token Selection via Noise Gating
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Emotion Transcription in Conversation: A Benchmark for Capturing Subtle and Complex Emotional States through Natural Language
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PDD: Manifold-Prior Diverse Distillation for Medical Anomaly Detection
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CanoVerse: 3D Object Scalable Canonicalization and Dataset for Generation and Pose
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LiveWorld: Simulating Out-of-Sight Dynamics in Generative Video World Models
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Fine-Grained Table Retrieval Through the Lens of Complex Queries
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Agentic Planning with Reasoning for Image Styling via Offline RL
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AMB-DSGDN: Adaptive Modality-Balanced Dynamic Semantic Graph Differential Network for Multimodal Emotion Recognition
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Improving reasoning at inference time via uncertainty minimisation
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Spectral Conditioning of Attention Improves Transformer Performance
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PromptGate Client Adaptive Vision Language Gating for Open Set Federated Active Learning
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ACD-U: Asymmetric co-teaching with machine unlearning for robust learning with noisy labels
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Making LLMs Optimize Multi-Scenario CUDA Kernels Like Experts
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Class Visualizations and Activation Atlases for Enhancing Interpretability in Deep Learning-Based Computational Pathology
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Learning to Rank the Initial Branching Order of SAT Solvers
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FreeFly-Thinking : Aligning Chain-of-Thought Reasoning with Continuous UAV Navigation
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From State Changes to Creative Decisions: Documenting and Interpreting Traces Across Creative Domains
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Governance Architecture for Autonomous Agent Systems: Threats, Framework, and Engineering Practice
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FastSTAR: Spatiotemporal Token Pruning for Efficient Autoregressive Video Synthesis
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Shaping Parameter Contribution Patterns for Out-of-Distribution Detection
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$\textbf{Re}^{2}$: Unlocking LLM Reasoning via Reinforcement Learning with Re-solving
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A Dual-Graph Spatiotemporal GNN Surrogate for Nonlinear Response Prediction of Reinforced Concrete Beams under Four-Point Bending
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Lying to Win: Assessing LLM Deception through Human-AI Games and Parallel-World Probing
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wDPO: Winsorized Direct Preference Optimization for Robust LLM Alignment
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Towards Objective Gastrointestinal Auscultation: Automated Segmentation and Annotation of Bowel Sound Patterns
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A Miniature Brain Transformer: Thalamic Gating, Hippocampal Lateralization, Amygdaloid Salience, and Prefrontal Working Memory in Attention-Coupled Latent Memory
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Margin in Abstract Spaces
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VINO: Video-driven Invariance for Non-contextual Objects via Structural Prior Guided De-contextualization
