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…
Multi-LLM Thematic Analysis with Dual Reliability Metrics: Combining Cohen’s Kappa and Semantic Similarity for Qualitative Research Validation
arXiv:2512.20352v1 Announce Type: cross Abstract: Qualitative research faces a critical reliability challenge: traditional inter-rater agreement methods require multiple human coders,…
Clust-PSI-PFL: A Population Stability Index Approach for Clustered Non-IID Personalized Federated Learning
arXiv:2512.20363v1 Announce Type: cross Abstract: Federated learning (FL) supports privacy-preserving, decentralized machine learning (ML) model training by keeping data on…
The Erasure Illusion: Stress-Testing the Generalization of LLM Forgetting Evaluation
arXiv:2512.19025v2 Announce Type: replace-cross Abstract: Machine unlearning aims to remove specific data influences from trained models, a capability essential for…
Fast LLM Post-training via Decoupled and Fastest-of-N Speculation
arXiv:2511.16193v3 Announce Type: replace-cross Abstract: Rollout dominates the training time in large language model (LLM) post-training, where the trained model…
Bidirectional human-AI collaboration in brain tumour assessments improves both expert human and AI agent performance
arXiv:2512.19707v1 Announce Type: cross Abstract: The benefits of artificial intelligence (AI) human partnerships-evaluating how AI agents enhance expert human performance-are…