arXiv:2504.00584v2 Announce Type: replace-cross Abstract: Negation plays an important role in various natural language processing tasks such as Natural Language…
arXiv:2507.10562v1 Announce Type: new Abstract: Current AI agent architectures suffer from ephemeral memory limitations, preventing effective collaboration and knowledge sharing…
arXiv:2507.10430v2 Announce Type: replace-cross Abstract: Federated Learning (FL) is a promising distributed machine learning approach that enables collaborative training of…
arXiv:2507.11178v1 Announce Type: cross Abstract: With the advancement of deep learning technologies, various neural network-based Granger causality models have been…
arXiv:2507.11168v1 Announce Type: cross Abstract: The increasing need for robustness, reliability, and determinism in wireless networks for industrial and mission-critical…
arXiv:2507.10136v2 Announce Type: replace-cross Abstract: Innate resistance to anti-PD-1 immunotherapy remains a major clinical challenge in metastatic melanoma, with the…
arXiv:2507.08806v1 Announce Type: new Abstract: Recent large language models have shown promising capabilities in long-form reasoning, following structured chains of…
arXiv:2507.08730v2 Announce Type: replace-cross Abstract: Modern configurable software systems need to learn models that correlate configuration and performance. However, when…
arXiv:2507.10120v1 Announce Type: cross Abstract: In this paper, we study a second-order approach to policy optimization in reinforcement learning. Existing…
arXiv:2507.10085v1 Announce Type: cross Abstract: Representation Fine-tuning (ReFT), a recently proposed Parameter-Efficient Fine-Tuning (PEFT) method, has attracted widespread attention for…
