arXiv Artificial IntelligenceHow Language Models Choose Sides: Internal Representations of Instruction Hierarchy
arXiv:2608.28648v1 Announce Type: new Abstract: We study how instruction-tuned LLMs arbitrate direct…
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arXiv Artificial IntelligencearXiv:2608.28648v1 Announce Type: new Abstract: We study how instruction-tuned LLMs arbitrate direct…
arXiv Artificial IntelligencearXiv:2608.28647v1 Announce Type: new Abstract: Target-only post-training can improve performance in a…
arXiv Artificial IntelligencearXiv:2608.28646v1 Announce Type: new Abstract: Large language models (LLMs) can generate plausible-sounding…
arXiv Artificial IntelligencearXiv:2608.28642v1 Announce Type: new Abstract: Knowledge graphs used by agentic systems are often treated as…
arXiv Artificial IntelligencearXiv:2608.28639v1 Announce Type: new Abstract: Formal theorem proving with large language models remains…
arXiv Artificial IntelligencearXiv:2608.28638v1 Announce Type: new Abstract: Agent skills are portable packages of instructions and…
arXiv Artificial IntelligencearXiv:2608.28637v1 Announce Type: new Abstract: Autonomous scientific discovery systems can generate large…
arXiv Artificial IntelligencearXiv:2608.28631v1 Announce Type: new Abstract: An AI scientist should not grade its own homework. Yet in the…
arXiv Artificial IntelligencearXiv:2608.28628v1 Announce Type: new Abstract: Compound drought-to-extreme-precipitation (CDEP) events are…
arXiv Artificial IntelligencearXiv:2608.28627v1 Announce Type: new Abstract: Designing high-performance tactical wireless networks under…
arXiv Artificial IntelligencearXiv:2608.28620v1 Announce Type: new Abstract: Preference elicitation is essential for aligning AI systems…
arXiv Artificial IntelligencearXiv:2608.28612v1 Announce Type: new Abstract: Generating professional scholarly content, such as peer…