Elisabeth Lex
2 papers · Latest:
Information Retrieval
Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems
This paper proposes a conceptual framework for designing fair multi-agent personalization systems that balance competing stakeholder objectives using LLM agents.
2605.02379
Information RetrievalMeta-Learning and Targeted Differential Privacy to Improve the Accuracy-Privacy Trade-off in Recommendations
This paper improves recommendation accuracy and privacy by combining targeted differential privacy on sensitive data with meta-learning for noise robustness.
2604.26390
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