arXiv:2510.17923v3 Announce Type: replace Abstract: Reinforcement Learning (RL) has emerged as a powerful paradigm for advancing Large Language Models (LLMs), achieving remarkable performance in complex reasoning domains such as mathematics and code generation. However, current RL methods face a fundamental…
arXiv:2512.02206v1 Announce Type: new Abstract: Sperm whales communicate in short sequences of clicks known as codas. We present WhAM (Whale Acoustics Model), the first transformer-based model capable of generating synthetic sperm whale codas from any audio prompt. WhAM is built…
arXiv:2512.00783v2 Announce Type: replace Abstract: To address the gap in humanoid robot cognitive systems regarding the lack of a time-updable mediating thought space between semantics and continuous control, this study constructs and trains a VLA model named “Sigma” that runs…
arXiv:2512.02213v1 Announce Type: new Abstract: Effective text generation and chat interfaces for low-resource languages (LRLs) remain a challenge for state-of-the-art large language models (LLMs) to support. This is mainly due to the difficulty of curating high-quality instruction datasets for LRLs,…
arXiv:2410.05814v4 Announce Type: replace-cross Abstract: Model Inversion Attacks (MIAs) pose a significant threat to data privacy by reconstructing sensitive training samples from the knowledge embedded in trained machine learning models. Despite recent progress in enhancing the effectiveness of MIAs across…
arXiv:2512.02214v1 Announce Type: new Abstract: We study the problem of online model selection in reinforcement learning, where the selector has access to a class of reinforcement learning agents and learns to adaptively select the agent with the right configuration. Our…
arXiv:2506.14987v3 Announce Type: replace-cross Abstract: Ensuring packet-level communication quality is vital for ultra-reliable, low-latency communications (URLLC) in large-scale industrial wireless networks. We enhance the Local Deadline Partition (LDP) algorithm by introducing a CNN-based dynamic priority prediction mechanism for improved interference…
arXiv:2512.02217v1 Announce Type: new Abstract: Artificial intelligence (AI) systems increasingly influence safety-critical aspects of society, from medical diagnosis to autonomous mobility, making uncertainty awareness a central requirement for trustworthy AI. We present a photonic Bayesian machine that leverages the inherent…
arXiv:2511.06040v4 Announce Type: replace-cross Abstract: We study the computational task of detecting and estimating correlated signals in a pair of spiked matrices $$ X=tfrac{lambda}{sqrt{n}} xu^{top}+W, quad Y=tfrac{mu}{sqrt{n}} yv^{top}+Z $$ where the spikes $x,y$ have correlation $rho$. Specifically, we consider two…
arXiv:2512.02223v1 Announce Type: new Abstract: Inferring the phylogenetic relationships among a sample of organisms is a fundamental problem in modern biology. While distance-based hierarchical clustering algorithms achieved early success on this task, these have been supplanted by Bayesian and maximum…
