arXiv Artificial IntelligenceTail-Replay: Escaping the Curse of Linear Attention in Prefix Caching for Hybrid LLMs
arXiv:2608.30310v1 Announce Type: cross Abstract: Hybrid large language models interleave full-attention…
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arXiv Artificial IntelligencearXiv:2608.30310v1 Announce Type: cross Abstract: Hybrid large language models interleave full-attention…
arXiv Artificial IntelligencearXiv:2608.30307v1 Announce Type: cross Abstract: Text-driven 3D indoor scene generation has advanced from…
arXiv Artificial IntelligencearXiv:2608.30295v1 Announce Type: cross Abstract: Large language models (LLMs) have demonstrated strong…
arXiv Artificial IntelligencearXiv:2608.30283v1 Announce Type: cross Abstract: Expected-cost constraints can still permit rare, high-cost…
arXiv Artificial IntelligencearXiv:2608.30263v1 Announce Type: cross Abstract: Large vision-language models (LVLMs) incur substantial…
arXiv Artificial IntelligencearXiv:2608.30260v1 Announce Type: cross Abstract: While it is well-established that prosody carries crucial…
arXiv Artificial IntelligencearXiv:2608.30258v1 Announce Type: cross Abstract: Neurosymbolic reasoning has shown promising success in…
arXiv Artificial IntelligencearXiv:2608.30256v1 Announce Type: cross Abstract: Logical reasoning with large language models (LLMs) is a…
arXiv Artificial IntelligencearXiv:2608.30224v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly used to…
arXiv Artificial IntelligencearXiv:2608.30216v1 Announce Type: cross Abstract: Topic models are widely used for content analysis, where…
arXiv Artificial IntelligencearXiv:2608.30207v1 Announce Type: cross Abstract: Computer use agents (CUAs) are vision-language models that…
arXiv Artificial IntelligencearXiv:2608.30165v1 Announce Type: cross Abstract: Scientific progress depends not only on finding solutions…