For An Exciting Tomorrow
arXiv:2512.02942v1 Announce Type: cross Abstract: The next frontier for video generation lies in developing models capable of zero-shot reasoning, where…
arXiv:2512.02932v1 Announce Type: cross Abstract: Novel view synthesis (NVS) is crucial in computer vision and graphics, with wide applications in…
arXiv:2512.01987v2 Announce Type: replace-cross Abstract: Offline Reinforcement Learning (RL) provides a promising avenue for training policies from pre-collected datasets when…
arXiv:2512.02080v1 Announce Type: new Abstract: The idea of using Formal Verification tools with large language models (LLMs) has enabled scaling…
arXiv:2512.01563v2 Announce Type: replace-cross Abstract: Head and neck masses are space-occupying lesions that can compress the airway and esophagus and…
arXiv:2511.22880v1 Announce Type: cross Abstract: Low-Rank Adaptation (LoRA) has become the de facto method for parameter-efficient fine-tuning of large language…
arXiv:2511.22888v1 Announce Type: cross Abstract: Process Reward Models (PRMs) enhance reasoning ability of LLMs by providing step-level supervision. However, their…
arXiv:2511.21626v2 Announce Type: replace-cross Abstract: Recent work by Freedman and Mulligan demonstrated that shallow multilayer perceptrons spontaneously develop Kolmogorov-Arnold geometric…
arXiv:2511.21688v2 Announce Type: replace-cross Abstract: Vision-Language Models (VLMs) still lack robustness in spatial intelligence, demonstrating poor performance on spatial understanding…
arXiv:2511.21779v1 Announce Type: new Abstract: We propose a novel protocol for aligning artificial superintelligence (ASI) based on mutual verification among…