FBS: Modeling Native Parallel Reading inside a Transformer
arXiv:2601.21708v2 Announce Type: replace Abstract: Large language models (LLMs) excel across many tasks, yet inference is still dominated by strictly…
Can VLMs Unlock Semantic Anomaly Detection? A Framework for Structured Reasoning
arXiv:2510.18034v2 Announce Type: replace-cross Abstract: Autonomous driving systems remain critically vulnerable to the long-tail of rare, out-of-distribution semantic anomalies. While…
Q-Probe: Scaling Image Quality Assessment to High Resolution via Context-Aware Agentic Probing
arXiv:2601.15356v3 Announce Type: replace-cross Abstract: Reinforcement Learning (RL) has empowered Multimodal Large Language Models (MLLMs) to achieve superior human preference…
In-Context Decision Making for Optimizing Complex AutoML Pipelines
arXiv:2508.13657v2 Announce Type: replace-cross Abstract: Combined Algorithm Selection and Hyperparameter Optimization (CASH) has been fundamental to traditional AutoML systems. However,…
On the Robustness of Diffusion-Based Image Compression to Bit-Flip Errors
arXiv:2604.05743v2 Announce Type: replace-cross Abstract: Modern image compression methods are typically optimized for the rate–distortion–perception trade-off, whereas their robustness to…
High-Precision Estimation of the State-Space Complexity of Shogi via the Monte Carlo Method
arXiv:2604.06189v1 Announce Type: new Abstract: Determining the state-space complexity of the game of Shogi (Japanese Chess) has been a challenging…
Governance and Regulation of Artificial Intelligence in Developing Countries: A Case Study of Nigeria
arXiv:2604.06018v2 Announce Type: replace-cross Abstract: This study examines the perception of legal professionals on the governance of AI in developing…
