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Showing 2601–2625 of 661570 papers

TitleStatusHype
Interpreting the Synchronization Gap: The Hidden Mechanism Inside Diffusion Transformers—0
Can we automatize scientific discovery in the cognitive sciences?—0
Behavioural feasible set: Value alignment constraints on AI decision support—0
Text-Image Conditioned 3D Generation—0
Direct Interval Propagation Methods using Neural-Network Surrogates for Uncertainty Quantification in Physical Systems Surrogate Model—0
FluidWorld: Reaction-Diffusion Dynamics as a Predictive Substrate for World Models—0
HELIX: Scaling Raw Audio Understanding with Hybrid Mamba-Attention Beyond the Quadratic Limit—0
Stream separation improves Bregman conditioning in transformers—0
KHMP: Frequency-Domain Kalman Refinement for High-Fidelity Human Motion Prediction—0
COINBench: Moving Beyond Individual Perspectives to Collective Intent Understanding—0
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading—0
Taming Sampling Perturbations with Variance Expansion Loss for Latent Diffusion Models—0
CVT-Bench: Counterfactual Viewpoint Transformations Reveal Unstable Spatial Representations in Multimodal LLMs—0
MS-CustomNet: Controllable Multi-Subject Customization with Hierarchical Relational Semantics—0
Incentivizing Generative Zero-Shot Learning via Outcome-Reward Reinforcement Learning with Visual Cues—0
Ontology-driven personalized information retrieval for XML documents—0
ORACLE: Optimizing Reasoning Abilities of Large Language Models via Constraint-Led Synthetic Data Elicitation—0
Time-adaptive functional Gaussian Process regression—0
NeSy-Edge: Neuro-Symbolic Trustworthy Self-Healing in the Computing Continuum—0
Learning from Label Proportions with Dual-proportion Constraints—0
Training-Free Instance-Aware 3D Scene Reconstruction and Diffusion-Based View Synthesis from Sparse Images—0
Model Evolution Under Zeroth-Order Optimization: A Neural Tangent Kernel Perspective—0
Pruned Adaptation Modules: A Simple yet Strong Baseline for Continual Foundation Models—0
Entropy Alone is Insufficient for Safe Selective Prediction in LLMs—0
Rethinking Plasticity in Deep Reinforcement Learning—0
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