arXiv Artificial IntelligenceTowards Zero-Shot Task Transfer with Neurosymbolic World Models
arXiv:2608.17959v2 Announce Type: replace Abstract: State-of-the-art model-based reinforcement learning…
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arXiv Artificial IntelligencearXiv:2608.17959v2 Announce Type: replace Abstract: State-of-the-art model-based reinforcement learning…
arXiv Artificial IntelligencearXiv:2608.17906v2 Announce Type: replace Abstract: Autonomous research systems are increasingly capable of…
arXiv Artificial IntelligencearXiv:2608.17007v2 Announce Type: replace Abstract: Agent Skills can specify procedural and resource…
arXiv Artificial IntelligencearXiv:2606.03770v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have become integral…
arXiv Artificial IntelligencearXiv:2502.14424v4 Announce Type: replace-cross Abstract: Most self-supervised learning objectives defend…
arXiv Artificial IntelligencearXiv:2608.16700v2 Announce Type: replace-cross Abstract: Various machine unlearning techniques have been…
arXiv Artificial IntelligencearXiv:2608.16419v2 Announce Type: replace-cross Abstract: Large language models can describe mechanisms, yet…
arXiv Artificial IntelligencearXiv:2608.15584v2 Announce Type: replace-cross Abstract: Production paged-serving engines apply uniform…
arXiv Artificial IntelligencearXiv:2608.14825v3 Announce Type: replace-cross Abstract: Frontier LLM agents increasingly transact on behalf…
arXiv Artificial IntelligencearXiv:2608.16447v2 Announce Type: replace Abstract: Long-horizon embodied tasks require LLM agents to…
arXiv Artificial IntelligencearXiv:2608.15592v2 Announce Type: replace Abstract: Efficient LLM serving is often bottlenecked by the need…
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