arXiv Artificial IntelligenceAutoOR: Scalably Post-training LLMs to Autoformulate Operations Research Problems
arXiv:2604.16804v4 Announce Type: replace-cross Abstract: Optimization problems are central to…
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arXiv Artificial IntelligencearXiv:2604.16804v4 Announce Type: replace-cross Abstract: Optimization problems are central to…
arXiv Artificial IntelligencearXiv:2608.18087v2 Announce Type: replace-cross Abstract: Existing subword tokenizers optimize statistical…
arXiv Artificial IntelligencearXiv:2608.18423v2 Announce Type: replace Abstract: Language model agents now execute bounded tasks reliably…
arXiv Artificial IntelligencearXiv:2608.17071v2 Announce Type: replace Abstract: We present KernelArc, a multi-agent framework for…
arXiv Artificial IntelligencearXiv:2508.08879v4 Announce Type: replace-cross Abstract: The growing deployment of large language models…
arXiv Artificial IntelligencearXiv:2608.15922v2 Announce Type: replace-cross Abstract: We show that the natural-gradient stationary…
arXiv Artificial IntelligencearXiv:2608.15242v3 Announce Type: replace Abstract: When a long-horizon agent execution fails, outcome-level…
arXiv Artificial IntelligencearXiv:2605.29668v3 Announce Type: replace Abstract: LLM agents acting in structured environments fail in…
arXiv Artificial IntelligencearXiv:2608.14227v2 Announce Type: replace Abstract: Preprocessing invariance is an appealing goal for…
arXiv Artificial IntelligencearXiv:2608.13517v2 Announce Type: replace-cross Abstract: Current large language model development relies on…
arXiv Artificial IntelligencearXiv:2608.11911v3 Announce Type: replace-cross Abstract: A central promise of useful quantum advantage is…
arXiv Artificial IntelligencearXiv:2608.11354v2 Announce Type: replace Abstract: Modern recommender systems treat observed actions as…