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…
arXiv:2604.19540v1 Announce Type: cross Abstract: Teams of LLM agents increasingly collaborate on tasks spanning days or weeks: multi-day data-generation sprints…
arXiv:2604.19548v1 Announce Type: cross Abstract: Large Language Model agents have rapidly evolved from static text generators into dynamic systems capable…
arXiv:2604.18580v2 Announce Type: replace-cross Abstract: Modern sequence modeling is dominated by two families: Transformers, whose self-attention can access arbitrary elements…
arXiv:2604.18645v1 Announce Type: new Abstract: This paper addresses the Variable Gapped Longest Common Subsequence (VGLCS) problem, a generalization of the…
