CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity | Paper Citation Record

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Aho and Jeffrey D

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Unresolved cited work

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Chandra and Dexter C

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Scalable training of

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Tetreault , title =

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Unresolved cited work

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Are Large Language Models Capable of Generating Human-Level Narratives?

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Applied Sciences , volume=

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity arXiv preprint arXiv:2510.09913 , year=

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity 2024 , email =

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity arXiv preprint arXiv:2509.26209 , year=

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Base Models Beat Aligned Models at Randomness and Creativity

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity ICML , year=

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Unresolved cited work

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity arXiv preprint arXiv:2510.22954 , year=

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity We're Different, We're the Same: Creative Homogeneity Across LLMs

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity LoRA: Low-Rank Adaptation of Large Language Models

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity AI-Slop to AI-Polish? Aligning Language Models through Edit-Based Writing Rewards and Test-time Computation

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity arXiv e-prints , pages=

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Vector Policy Optimization: Training for Diversity Improves Test-Time Search

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Advances in Neural Information Processing Systems , year=

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity arXiv preprint arXiv:2505.14442 , year=

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Modifying Large Language Model Post-Training for Diverse Creative Writing

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity arXiv preprint arXiv:2511.09310 , year=

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity No Single Best Model for Diversity: Learning a Router for Sample Diversity

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity PNAS nexus , volume=

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing , pages=

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity 2003 , publisher=

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Stanford Humanities Review , volume=

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Psychosociological Issues in Human Resource Management , volume=

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Measuring Mathematical Problem Solving With the MATH Dataset

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity International Conference on Learning Representations , volume=

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Diverse Preference Optimization

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity The Llama 3 Herd of Models

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Proceedings of the 2016 conference of the North American chapter of the association for computational linguistics: human language technologies , pages=

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , pages=

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation , pages=

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity ROUGE : A Package for Automatic Evaluation of Summaries

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity The Vendi Score: A Diversity Evaluation Metric for Machine Learning

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Recovering Diversity Without Losing Alignment: A DPO Recipe for Post-Trained LLMs

Reference 53

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Findings of the Association for Computational Linguistics: ACL 2025 , pages=

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity Intelligence , volume=

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity 1998 , publisher=

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T04:21:41.881293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity 4th International Conference on Pattern Recognition Applications and Methods 2015 , year=

Reference 58

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CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity 2020 , publisher=

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:21:42.524533Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers