arXiv:2505.03646v2 Announce Type: replace-cross Abstract: Adversarial robustness of deep autoencoders (AEs) remains relatively unexplored, even though their non-invertible nature poses…
arXiv:2508.02741v1 Announce Type: cross Abstract: Large-scale tuberculosis (TB) screening is limited by the high cost and operational complexity of traditional…
arXiv:2508.03342v1 Announce Type: cross Abstract: Existing cybersecurity playbooks are often written in heterogeneous, non-machine-readable formats, which limits their automation and…
arXiv:2508.00912v1 Announce Type: cross Abstract: Commercial LLM services often conceal internal reasoning traces while still charging users for every generated…
arXiv:2507.14230v2 Announce Type: replace-cross Abstract: Advanced intelligent automation becomes an important feature to deal with the increased complexity in managing…
arXiv:2505.19147v2 Announce Type: replace-cross Abstract: The rapid advancement of large language models (LLMs) and multi-modal LLMs (MLLMs) has historically relied…
arXiv:2507.11554v4 Announce Type: replace-cross Abstract: Recent advancements in diffusion models (DMs) have been propelled by alignment methods that post-train models…
arXiv:2508.01887v1 Announce Type: cross Abstract: AI-generated text detectors have become essential tools for maintaining content authenticity, yet their robustness against…
arXiv:2503.10009v3 Announce Type: replace Abstract: With the rise of artificial intelligence (AI), applying large language models (LLMs) to mathematical problem-solving…
arXiv:2504.10812v2 Announce Type: replace-cross Abstract: End-to-end learning has shown great potential in autonomous parking, yet the lack of publicly available…
