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Opportunities and Risks of LLMs for Scalable Deliberation with Polis.

, , , , , , , , и . CoRR, (2023)

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Realistic but Non-Identifiable Synthetic User Data Generation., , , и . EvalRS@KDD, том 3450 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities., , , и . AAAI, стр. 12287-12293. AAAI Press, (2022)Order-Embeddings of Images and Language., , , и . ICLR, (2016)Order-Embeddings of Images and Language, , , и . (2015)cite arxiv:1511.06361Comment: ICLR camera-ready version.Opportunities and Risks of LLMs for Scalable Deliberation with Polis., , , , , , , , и . CoRR, (2023)Gradient-based Optimization for Bayesian Preference Elicitation., , , и . CoRR, (2019)RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems., , , , , , , , , и . CoRR, (2021)What are you optimizing for? Aligning Recommender Systems with Human Values., , , , и . CoRR, (2021)Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG., , , , , , , , , и . RecSys, стр. 591-593. ACM, (2020)Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors., , , , , , и . WWW, стр. 2411-2421. ACM, (2022)