For An Exciting Tomorrow
arXiv:2512.21336v1 Announce Type: cross Abstract: Masked Diffusion Models (MDMs) offer flexible, non-autoregressive generation, but this freedom introduces a challenge: final…
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…
arXiv:2512.19512v2 Announce Type: replace-cross Abstract: Multimodal Large Language Models (MLLMs) have achieved impressive progress in natural image reasoning, yet their…
arXiv:2512.20978v1 Announce Type: cross Abstract: Language Model (LM)-based generative modeling has emerged as a promising direction for TSE, offering potential…
arXiv:2512.20974v1 Announce Type: cross Abstract: Bayesian Reinforcement Learning (BRL) provides a framework for generalisation of Reinforcement Learning (RL) problems from…
arXiv:2512.20260v1 Announce Type: cross Abstract: Weakly-Supervised Camouflaged Object Detection (WSCOD) aims to locate and segment objects that are visually concealed…
arXiv:2511.16193v3 Announce Type: replace-cross Abstract: Rollout dominates the training time in large language model (LLM) post-training, where the trained model…
arXiv:2512.19025v2 Announce Type: replace-cross Abstract: Machine unlearning aims to remove specific data influences from trained models, a capability essential for…