arXiv:2507.20578v1 Announce Type: cross Abstract: Recent advances in recommender systems rely on external resources such as knowledge graphs or large…
arXiv:2507.01061v2 Announce Type: replace-cross Abstract: The integration of Large Language Models (LLMs) into social science experiments represents a transformative approach…
arXiv:2507.19657v1 Announce Type: cross Abstract: The development of next-generation networking systems has inherently shifted from throughput-based paradigms towards intelligent, information-aware…
arXiv:2507.20623v1 Announce Type: cross Abstract: As the development of lightweight deep learning algorithms, various deep neural network (DNN) models have…
arXiv:2506.01665v2 Announce Type: replace-cross Abstract: The deployment of autonomous robots in safety-critical applications requires safety guarantees. Provably safe reinforcement learning…
arXiv:2507.19368v1 Announce Type: cross Abstract: Artificial intelligence is increasingly leveraged across various domains to automate decision-making processes that significantly impact…
arXiv:2506.18414v2 Announce Type: replace-cross Abstract: Melanoma represents a critical health risk due to its aggressive progression and high mortality, underscoring…
arXiv:2507.18815v1 Announce Type: cross Abstract: The rise of deepfake technology brings forth new questions about the authenticity of various forms…
arXiv:2507.19374v1 Announce Type: cross Abstract: While there exist strong benchmark datasets for grammatical error correction (GEC), high-quality annotated spoken datasets…
arXiv:2503.05996v2 Announce Type: replace-cross Abstract: Reinforcement learning agents are fundamentally limited by the quality of the reward functions they learn…
