arXiv:2602.16467v1 Announce Type: cross Abstract: The rapid advancement of large language models (LLMs) necessitates evaluation frameworks that reflect real-world academic…
arXiv:2602.16485v1 Announce Type: cross Abstract: Existing Multi-Agent Systems (MAS) typically rely on static, homogeneous model configurations, limiting their ability to…
arXiv:2602.15689v2 Announce Type: replace-cross Abstract: Large language models and LLM-based agents are increasingly used for cybersecurity tasks that are inherently…
arXiv:2502.17863v2 Announce Type: replace-cross Abstract: Video generation aims to produce temporally coherent sequences of visual frames, representing a pivotal advancement…
arXiv:2405.05523v2 Announce Type: replace-cross Abstract: Temporal grounding is crucial in multimodal learning, but it poses challenges when applied to animal…
arXiv:2504.19223v4 Announce Type: replace-cross Abstract: Spectral imaging offers promising applications across diverse domains, including medicine and urban scene understanding, and…
arXiv:2602.16012v1 Announce Type: new Abstract: Neural solvers have achieved impressive progress in addressing simple routing problems, particularly excelling in computational…
arXiv:2509.19680v2 Announce Type: replace-cross Abstract: As LLMs gain adoption in high-stakes domains like mental health, domain experts are increasingly consulted…
arXiv:2602.16603v1 Announce Type: cross Abstract: The growing demand for large language models (LLMs) requires serving systems to handle many concurrent…
arXiv:2602.15711v1 Announce Type: cross Abstract: Node embeddings map graph vertices into low-dimensional Euclidean spaces while preserving structural information. They are…
