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University of Notre Dame
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Rollout generation can be transformed from a static process into a dynamic, learning-driven strategy that adapts to policy changes in real-time.
LLMs show significant variability in the actionability of their UX critiques, with some models outperforming others across different product categories.
Scammers exploit a systematic taxonomy of 18 scenarios, revealing how psychological techniques are strategically deployed to maximize their impact.
ProPlay allows agents to rehearse future actions using a structured procedure graph, leading to substantial improvements in self-evolution and environment understanding.
MDForge not only matches human expertise in molecular dynamics pipeline design but also uncovers a novel high-affinity binder, showcasing the potential of LLMs in scientific discovery.
LLMs exhibit substantial performance gaps in supramolecular chemistry, revealing critical areas for improvement in host-guest reasoning tasks.
