arXiv:2604.19749v1 Announce Type: new Abstract: Equipping LLMs with external tools effectively addresses internal reasoning limitations. However, it introduces a critical…
arXiv:2604.20659v1 Announce Type: cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has advanced the reasoning capabilities of Large Language Models…
arXiv:2603.04950v2 Announce Type: replace-cross Abstract: Differential medical VQA models compare multiple images to identify clinically meaningful changes and rely on…
arXiv:2604.18644v2 Announce Type: replace-cross Abstract: Predictive policing systems that allocate patrol resources based solely on predicted crime risk can unintentionally…
arXiv:2604.00505v3 Announce Type: replace-cross Abstract: Overparameterized neural networks often show a benign overfitting property in the sense of achieving excellent…
arXiv:2509.22343v2 Announce Type: replace-cross Abstract: Reasoning capability is essential to ensure the factual correctness of the responses of transformer-based Large…
arXiv:2603.21298v3 Announce Type: replace-cross Abstract: Combating hate speech on social media is critical for securing cyberspace, yet relies heavily on…
arXiv:2601.18296v2 Announce Type: replace-cross Abstract: Temporal Knowledge Graph Question Answering (TKGQA) is inherently challenging, as it requires sophisticated reasoning over…
arXiv:2503.23439v2 Announce Type: replace-cross Abstract: Spoken dialogue systems powered by large language models have demonstrated remarkable abilities in understanding human…
arXiv:2604.18398v2 Announce Type: replace-cross Abstract: Creativity has become a core competence in the era of LLMs and human-AI collaboration, underpinning…
