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cs.CL2025
Towards Reliable Multi-Agent Systems for Marketing Applications via Reflection, Memory, and Planning
Lorenzo Jaime Yu Flores, Junyi Shen, Goodman Gu
Recent advances in large language models (LLMs) enabled the development of AI agents that can plan and interact with tools to complete complex tasks. However, literature on their r…
cs.CL2025
Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution's Characteristics
Lorenzo Jaime Yu Flores, Ori Ernst, Jackie Chi Kit Cheung
Well-calibrated model confidence scores can improve the usefulness of text generation models. For example, users can be prompted to review predictions with low confidence scores, t…