Aerial World Model for Long-horizon Visual Generation and Navigation in 3D Space
arXiv:2512.21887v1 Announce Type: cross Abstract: Unmanned aerial vehicles (UAVs) have emerged as powerful embodied agents. One of the core abilities…
TableGPT-R1: Advancing Tabular Reasoning Through Reinforcement Learning
arXiv:2512.20312v2 Announce Type: replace-cross Abstract: Tabular data serves as the backbone of modern data analysis and scientific research. While Large…
Generalised Linear Models in Deep Bayesian RL with Learnable Basis Functions
arXiv:2512.20974v1 Announce Type: cross Abstract: Bayesian Reinforcement Learning (BRL) provides a framework for generalisation of Reinforcement Learning (RL) problems from…
GenTSE: Enhancing Target Speaker Extraction via a Coarse-to-Fine Generative Language Model
arXiv:2512.20978v1 Announce Type: cross Abstract: Language Model (LM)-based generative modeling has emerged as a promising direction for TSE, offering potential…
Anatomy-R1: Enhancing Anatomy Reasoning in Multimodal Large Language Models via Anatomical Similarity Curriculum and Group Diversity Augmentation
arXiv:2512.19512v2 Announce Type: replace-cross Abstract: Multimodal Large Language Models (MLLMs) have achieved impressive progress in natural image reasoning, yet their…
A Multi-fidelity Double-Delta Wing Dataset and Empirical Scaling Laws for GNN-based Aerodynamic Field Surrogate
arXiv:2512.20941v1 Announce Type: cross Abstract: Data-driven surrogate models are increasingly adopted to accelerate vehicle design. However, open-source multi-fidelity datasets and…
Optimizing Decoding Paths in Masked Diffusion Models by Quantifying Uncertainty
arXiv:2512.21336v1 Announce Type: cross Abstract: Masked Diffusion Models (MDMs) offer flexible, non-autoregressive generation, but this freedom introduces a challenge: final…
${D}^{3}${ETOR}: ${D}$ebate-Enhanced Pseudo Labeling and Frequency-Aware Progressive ${D}$ebiasing for Weakly-Supervised Camouflaged Object ${D}$etection with Scribble Annotations
arXiv:2512.20260v1 Announce Type: cross Abstract: Weakly-Supervised Camouflaged Object Detection (WSCOD) aims to locate and segment objects that are visually concealed…