Papers by Roger E. Beaty

2 papers
Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models (2025.emnlp-main)

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Challenge: Diverse language model responses are crucial for creative generation, open-ended tasks, and self-improvement training.
Approach: They propose a length-controlled data selection strategy that improves diversity while maintaining length parity.
Outcome: The proposed method improves diversity while maintaining length parity on LLaMA-3.1-8B and Olmo-2 family.
Creative Preference Optimization (2025.findings-emnlp)

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Challenge: Existing methods for enhancing LLM creativity focus on diversity or specific tasks, failing to address creativity’s multifaceted nature in a generalizable way.
Approach: They propose a method that injects signals from multiple creativity dimensions into the preference optimization objective in a modular fashion.
Outcome: The proposed method outperforms baseline models on automated and human evaluations while maintaining high output quality.

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