arXiv Artificial IntelligenceTrain the Model, Not the Reader: Decodability Supervision for Verifiable Activation Explanations
arXiv:2607.20379v2 Announce Type: replace Abstract: Natural-language autoencoders score explanations of…
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arXiv Artificial IntelligencearXiv:2607.20379v2 Announce Type: replace Abstract: Natural-language autoencoders score explanations of…
arXiv Artificial IntelligencearXiv:2607.14178v3 Announce Type: replace Abstract: Recent advances in Large Language Models have fueled…
arXiv Artificial IntelligencearXiv:2606.21654v2 Announce Type: replace Abstract: Computer use agents are evaluated almost exclusively on…
arXiv Artificial IntelligencearXiv:2606.06081v2 Announce Type: replace Abstract: Appropriate reliance on AI advice has become a central…
arXiv Artificial IntelligencearXiv:2605.27569v3 Announce Type: replace Abstract: Machine unlearning aims to remove the influence of…
arXiv Artificial IntelligencearXiv:2605.22664v5 Announce Type: replace Abstract: LLM agents are increasingly expected to carry out…
arXiv Artificial IntelligencearXiv:2605.06185v2 Announce Type: replace Abstract: Large vision-language models perform well on short- and…
arXiv Artificial IntelligencearXiv:2605.02782v2 Announce Type: replace Abstract: Automatic speech recognition (ASR) systems remain brittle…
arXiv Artificial IntelligencearXiv:2604.20728v2 Announce Type: replace Abstract: Autonomous systems that rely on learned perception can…
arXiv Artificial IntelligencearXiv:2604.01608v5 Announce Type: replace Abstract: Multi-agent systems (MAS) for structured data-science…
arXiv Artificial IntelligencearXiv:2603.02196v4 Announce Type: replace Abstract: An agent must try new behaviors to explore and improve…
arXiv Artificial IntelligencearXiv:2509.04100v3 Announce Type: replace Abstract: This paper explores the combination of Reinforcement…