Papers by Daniel Barcklow
GRAVITY: A Framework for Personalized Text Generation via Profile-Grounded Synthetic Preferences (2026.eacl-long)
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| Challenge: | Personalization in LLMs often relies on costly human feedback or interaction logs, limiting scalability and neglecting deeper user attributes. |
| Approach: | They propose a framework for generating synthetic, profile-grounded preference data that captures users’ interests, values, beliefs, and personality traits. |
| Outcome: | The proposed framework improves on book descriptions for 400 Amazon users across multiple cultures, with user studies showing that outputs are preferred over 86% of the time. |