Lorenzo Jaime Yu on Muck Rack

Lorenzo Jaime Yu

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Computer Science > Computation and Language

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By Lorenzo Jaime Yu, David Ifeoluwa, Cesare Spinoso
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2508.11120] Towards Reliable Multi-Agent Systems for Marketing Applications via Reflection, Memory, and Planning

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By Lorenzo Jaime Yu
| arxiv.org
[Submitted on 14 Aug 2025] Title:Towards Reliable Multi-Agent Systems for Marketing Applications via Reflection, Memory, and Planning View a PDF of the paper titled Towards Reliable Multi-Agent Systems for Marketing Applications via Reflection, Memory, and Planning, by Lorenzo Jaime Yu Flores and 2 other authors View PDF HTML (experimental) Abstract:Recent advances in large language models (LLMs) enabled the development of AI agents that can plan and interact with tools to complete complex...
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[2506.00637] Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution's Characteristics

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By Lorenzo Jaime Yu, Jackie Chi Kit
| arxiv.org
[Submitted on 31 May 2025] Title:Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution's Characteristics View a PDF of the paper titled Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution's Characteristics, by Lorenzo Jaime Yu Flores and 2 other authors View PDF HTML (experimental) Abstract:Well-calibrated model confidence scores can improve the usefulness of text generation models.
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