arXiv:2506.10669v2 Announce Type: replace-cross Abstract: Background and Objective: Prototype-based methods improve interpretability by learning fine-grained part-prototypes; however, their visualization in…
arXiv:2506.11526v1 Announce Type: cross Abstract: For autonomous vehicles, safe navigation in complex environments depends on handling a broad range of…
arXiv:2506.11543v1 Announce Type: cross Abstract: Post-training quantization (PTQ) has stood out as a cost-effective and promising model compression paradigm in…
arXiv:2506.10848v2 Announce Type: replace-cross Abstract: Diffusion-based language models (dLLMs) have emerged as a promising alternative to traditional autoregressive LLMs by…
arXiv:2506.11012v1 Announce Type: new Abstract: Knowledge graphs (KGs) have emerged as a powerful paradigm for structuring and leveraging diverse real-world…
arXiv:2506.09202v2 Announce Type: replace-cross Abstract: We introduce a novel task of clustering trajectories from offline reinforcement learning (RL) datasets, where…
arXiv:2506.10785v1 Announce Type: cross Abstract: Artificial Intelligence (AI)-powered features have rapidly proliferated across mobile apps in various domains, including productivity,…
arXiv:2506.10821v1 Announce Type: cross Abstract: Long video understanding (LVU) presents a significant challenge for current multi-modal large language models (MLLMs)…
