arXiv Artificial IntelligenceAPEX: Adaptive Expert Prefetching for Memory-Efficient Edge MoE Inference
arXiv:2608.11688v1 Announce Type: cross Abstract: Mixture-of-Experts (MoE) models are attractive for edge…
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arXiv Artificial IntelligencearXiv Artificial IntelligenceLearning from Multimodal Pseudo-Labels for Robust Open-Vocabulary Instance and Panoptic Segmentation
arXiv:2608.11681v1 Announce Type: cross Abstract: This work addresses the challenge of open-vocabulary…
arXiv Artificial IntelligenceGCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs
arXiv:2608.11674v1 Announce Type: cross Abstract: On-policy rollout methods such as GRPO are central to…
arXiv Artificial IntelligenceRubric Dropout: A Simple Way to Mitigate Reward Hacking in Rubric-as-Reward RL
arXiv:2608.11669v1 Announce Type: cross Abstract: Reinforcement learning against rubrics, lists of criteria…
arXiv Artificial IntelligenceLow-Interaction-Rank Learning: Unifying Multiplicative Dual-Encoder Heads
arXiv:2608.11661v1 Announce Type: cross Abstract: A multiplicative dual-encoder network computes a…
arXiv Artificial IntelligenceHybrid-Policy Self-Editing for Composable Unstructured Knowledge Editing
arXiv:2608.11660v1 Announce Type: cross Abstract: Large language models (LLMs) achieve remarkable performance…
arXiv Artificial IntelligenceIs Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning
arXiv:2608.11658v1 Announce Type: cross Abstract: Many reinforcement learning systems, from fleet management…
arXiv Artificial IntelligenceMotion-as-Prompt: Enhancing Motion Reasoning in Multimodal Large Language Models via Motion-Guided Cross-Frame Visual Prompting
arXiv:2608.11655v1 Announce Type: cross Abstract: Motion-centric video reasoning is fundamental to…
arXiv Artificial IntelligenceBeyond Memory: A Transactional Continuity Kernel for Long-Lived AI Agents
arXiv:2608.11632v1 Announce Type: cross Abstract: Persistent AI agents accumulate versioned state across long…
arXiv Artificial IntelligenceDeep Learning Based Relative Transfer Matrix Estimation for Multiple Sources and Multiple Microphones
arXiv:2608.11627v1 Announce Type: cross Abstract: The Relative Transfer Matrix (ReTM), recently introduced as…
arXiv Artificial IntelligenceLearning to Persuade Exposes How Easily LLMs Abandon Correct Beliefs
arXiv:2608.11624v1 Announce Type: cross Abstract: Persuasion is a core dynamic of natural language…
arXiv Artificial IntelligenceFM-LLM: A frequency-enhanced mixture-of-experts framework for adapting LLMs to time series forecasting
arXiv:2608.11623v1 Announce Type: cross Abstract: Recent advances in Large Language Models (LLMs) have…
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