LLM Discussion: Enhancing the Creativity of Large Language Models via Discussion Framework and Role-Play
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Abstract (arXiv)
Large language models (LLMs) have shown exceptional proficiency in natural language processing but often fall short of generating creative and original responses to open-ended questions. To enhance LLM creativity, our key insight is to emulate the human process of inducing collective creativity through engaging discussions with participants from diverse backgrounds and perspectives. To this end, we propose LLM Discussion, a three-phase discussion framework that facilitates vigorous and diverging idea exchanges and ensures convergence to creative answers. Moreover, we adopt a role-playing technique by assigning distinct roles to LLMs to combat the homogeneity of LLMs. We evaluate the efficacy of the proposed framework with the Alternative Uses Test, Similarities Test, Instances Test, and Scientific Creativity Test through both LLM evaluation and human study. The results show that our proposed framework outperforms single-LLM approaches and existing multi-LLM frameworks across various creativity metrics. The code is available at https://github.com/lawraa/LLM-Discussion.
Key facts. Cited by 65 papers in the map (data through 7 Oct 2026). Builds on 40 of its 55 references that are in the map. First posted on arXiv 10 May 2024.
Builds on
40 of 55 references.
References · 40
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Citing papers per year: 2024: 15; 2025: 30; 2026: 20.
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- 2026MedMASLab: A Unified Orchestration Framework for Benchmarking Multimodal Medical Multi-Agent Systems10 Mar 2026
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- 2026DRPG (Decompose, Retrieve, Plan, Generate): An Agentic Framework for Academic Rebuttal26 Jan 2026
- 2025United Minds or Isolated Agents? Exploring Coordination of LLMs under Cognitive Load Theory7 Jun 2025
- 2025AI Agent Behavioral Science4 Jun 2025
- 2025Creativity in LLM-based Multi-Agent Systems: A Survey27 May 2025
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- 2025MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration19 Mar 2025
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- 2025Diversity-Enhanced Reasoning for Subjective Questionscited by 9
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- 2026Wiring the 'Why': A Unified Taxonomy and Survey of Abductive Reasoning in LLMscited by 5
- 2025Evaluation Hallucination in Multi-Round Incomplete Information Lateral-Driven Reasoning Taskscited by 1
- 2025PTFA: An LLM-based Agent that Facilitates Online Consensus Building through Parallel Thinkingcited by 0
- 2026Wiring the 'Why': A Unified Taxonomy and Survey of Abductive Reasoning in LLMs9 Apr 2026
- 2026Not All Queries Need Deep Thought: CoFiCot for Adaptive Coarse-to-fine Stateful Refinement9 Mar 2026
- 2025Token Hidden Reward: Steering Exploration-Exploitation in Group Relative Deep Reinforcement Learning4 Oct 2025
- 2025Diversity-Enhanced Reasoning for Subjective Questions27 Jul 2025
- 2025Evaluation Hallucination in Multi-Round Incomplete Information Lateral-Driven Reasoning Tasks28 May 2025
- 2025A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond27 Mar 2025
- 2025PTFA: An LLM-based Agent that Facilitates Online Consensus Building through Parallel Thinking16 Mar 2025
- 2024Reverse Thinking Makes LLMs Stronger Reasoners29 Nov 2024
- 2024Human Creativity in the Age of LLMs: Randomized Experiments on Divergent and Convergent Thinking24 Sep 2024
- 2024MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning18 Sep 2024
- 2025LLM Probability Concentration: How Alignment Shrinks the Generative Horizoncited by 26
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- 2025Adaptive Helpfulness-Harmlessness Alignment with Preference Vectorscited by 6
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- 2026Simple Role Assignment is Extraordinarily Effective for Safety Alignment20 Jan 2026
- 2025LLM Probability Concentration: How Alignment Shrinks the Generative Horizon22 Jun 2025
- 2025Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors27 Apr 2025
- 2025VITAL: A New Dataset for Benchmarking Pluralistic Alignment in Healthcare19 Feb 2025
- 2024Benchmarking Language Model Creativity: A Case Study on Code Generationcited by 38
- 2024Evaluating and Enhancing Large Language Models for Novelty Assessment in Scholarly Publicationscited by 26
- 2024GermanPartiesQA: Benchmarking Commercial Large Language Models and AI Companions for Political Alignment and Sycophancycited by 14
- 2024A Survey on Human-Centric LLMscited by 13
- 2024GPT for Games: An Updated Scoping Review (2020-2024)cited by 10
- 2024Fairness Testing of Large Language Models in Role-Playingcited by 10
- 2025BILLY: Steering Large Language Models via Merging Persona Vectors for Creative Generationcited by 10
- 2025Optimizing Diversity and Quality through Base-Aligned Model Collaborationcited by 8
- 2024PersLLM: A Personified Training Approach for Large Language Modelscited by 6
- 2025Role-Playing Evaluation for Large Language Modelscited by 5
- 2025MODS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collectionscited by 4
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- 2026Automated Creativity Evaluation of Language Models Across Open-Ended Tasks10 Jun 2026
- 2026Playing with Words, Improving with Rewards: Training Language Models for Creative Association27 May 2026
- 2026Persona-Grounded Safety Evaluation of AI Companions in Multi-Turn Conversations30 Apr 2026
- 2026Beyond Reproduction: A Paired-Task Framework for Assessing LLM Comprehension and Creativity in Literary Translation20 Apr 2026
- 2026How Creative Are Large Language Models in Generating Molecules?20 Apr 2026
- 2026TeamLLM: A Human-Like Team-Oriented Collaboration Framework for Multi-Step Contextualized Tasks8 Apr 2026
- 2026SRBench: A Comprehensive Benchmark for Sequential Recommendation with Large Language Models31 Jan 2026
- 2026Are We Truly Innovating? A Qualitative and Quantitative Study of Originality in AI Research Papers14 Jan 2026
- 2026LLM Review: Enhancing Creative Writing via Blind Peer Review Feedback12 Jan 2026
- 2025Enhancing Diversity of LLM-Generated Educational Tasks29 Dec 2025
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