arXiv Artificial IntelligenceSafeCap: Improving LVLM Safety with Image Captioning Reinforcement Learning
arXiv:2608.10513v1 Announce Type: cross Abstract: Large vision-language models (LVLMs) remain vulnerable to…
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arXiv Artificial IntelligencearXiv:2608.10513v1 Announce Type: cross Abstract: Large vision-language models (LVLMs) remain vulnerable to…
arXiv Artificial IntelligencearXiv:2608.10499v1 Announce Type: cross Abstract: Personalized Federated Reinforcement Learning (PFRL) takes…
arXiv Artificial IntelligencearXiv:2608.10484v1 Announce Type: cross Abstract: Action verbs describe not only the physical outcomes of…
arXiv Artificial IntelligencearXiv:2608.10459v1 Announce Type: cross Abstract: As LLM-generated content becomes more sophisticated…
arXiv Artificial IntelligencearXiv:2608.10447v1 Announce Type: cross Abstract: Large language model-based recommender systems are…
arXiv Artificial IntelligencearXiv:2608.10431v1 Announce Type: cross Abstract: Responsible AI (RAI) has become a central concern for…
arXiv Artificial IntelligencearXiv:2608.10430v1 Announce Type: cross Abstract: Large Language Models (LLMs) deployed as AI agents…
arXiv Artificial IntelligencearXiv:2608.10427v1 Announce Type: cross Abstract: Scattering matrices are the standard experimental and…
arXiv Artificial IntelligencearXiv:2608.10416v1 Announce Type: cross Abstract: We present a theoretical foundation for inverse-distance…
arXiv Artificial IntelligencearXiv:2608.10405v1 Announce Type: cross Abstract: Many studies have shown that specially crafted inputs can…
arXiv Artificial IntelligencearXiv:2608.10385v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used as…
arXiv Artificial IntelligencearXiv:2608.10382v1 Announce Type: cross Abstract: Universal approximation in reservoir computing is typically…