arXiv Artificial IntelligenceMLREF: Efficient Module Reuse for Reward Design in Reinforcement Learning via Large Language Models
arXiv:2608.18827v1 Announce Type: cross Abstract: Reward function design remains a bottleneck in…
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arXiv Artificial IntelligencearXiv:2608.18827v1 Announce Type: cross Abstract: Reward function design remains a bottleneck in…
arXiv Artificial IntelligencearXiv:2608.18825v1 Announce Type: cross Abstract: Medical automatic speech recognition (MedASR) requires…
arXiv Artificial IntelligencearXiv:2608.18821v1 Announce Type: cross Abstract: The logical reconstruction of argument graphs from natural…
arXiv Artificial IntelligencearXiv:2608.18816v1 Announce Type: cross Abstract: AI hallucinations - that is, outputs which are made up…
arXiv Artificial IntelligencearXiv:2608.18813v1 Announce Type: cross Abstract: In the last years, a number of proofs of the fact that…
arXiv Artificial IntelligencearXiv:2608.18803v1 Announce Type: cross Abstract: Efficient continual learning remains a fundamental…
arXiv Artificial IntelligencearXiv:2608.18779v1 Announce Type: cross Abstract: Semantic-ID mappings are reusable interfaces between item…
arXiv Artificial IntelligencearXiv:2608.18759v1 Announce Type: cross Abstract: Fairness in medical imaging is commonly evaluated through…
arXiv Artificial IntelligencearXiv:2608.18758v1 Announce Type: cross Abstract: Generative AI does not merely produce biased outputs. It…
arXiv Artificial IntelligencearXiv:2608.18733v1 Announce Type: cross Abstract: We present Flama, an open-source Python framework for…
arXiv Artificial IntelligencearXiv:2608.18731v1 Announce Type: cross Abstract: Medical image segmentation is essential for clinical…
arXiv Artificial IntelligencearXiv:2608.18723v1 Announce Type: cross Abstract: Telecom operators traditionally offer predefined tariff…