Difference between revisions of "AI creativity"
KevinYager (talk | contribs) (→Research) |
KevinYager (talk | contribs) (→Research) |
||
| (One intermediate revision by the same user not shown) | |||
| Line 7: | Line 7: | ||
* 2024-12: [https://arxiv.org/abs/2412.14141 LLMs can realize combinatorial creativity: generating creative ideas via LLMs for scientific research] | * 2024-12: [https://arxiv.org/abs/2412.14141 LLMs can realize combinatorial creativity: generating creative ideas via LLMs for scientific research] | ||
* 2024-12: [https://arxiv.org/abs/2412.17596 LiveIdeaBench: Evaluating LLMs' Scientific Creativity and Idea Generation with Minimal Context] | * 2024-12: [https://arxiv.org/abs/2412.17596 LiveIdeaBench: Evaluating LLMs' Scientific Creativity and Idea Generation with Minimal Context] | ||
| + | * 2025-03: [https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5188231 The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise] | ||
* 2025-03: Midjourney: [https://www.arxiv.org/abs/2503.17126 Modifying Large Language Model Post-Training for Diverse Creative Writing] | * 2025-03: Midjourney: [https://www.arxiv.org/abs/2503.17126 Modifying Large Language Model Post-Training for Diverse Creative Writing] | ||
* 2025-04: [https://arxiv.org/abs/2504.12320 Has the Creativity of Large-Language Models peaked? An analysis of inter- and intra-LLM variability] | * 2025-04: [https://arxiv.org/abs/2504.12320 Has the Creativity of Large-Language Models peaked? An analysis of inter- and intra-LLM variability] | ||
| Line 13: | Line 14: | ||
* 2025-10: [https://arxiv.org/abs/2510.01171 Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity] | * 2025-10: [https://arxiv.org/abs/2510.01171 Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity] | ||
* 2025-10: [https://arxiv.org/abs/2510.20635 Why Did Apple Fall To The Ground: Evaluating Curiosity In Large Language Model] | * 2025-10: [https://arxiv.org/abs/2510.20635 Why Did Apple Fall To The Ground: Evaluating Curiosity In Large Language Model] | ||
| + | * 2025-10: [https://arxiv.org/abs/2510.22954 Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)] | ||
=Benchmarks= | =Benchmarks= | ||
Latest revision as of 13:54, 4 December 2025
Research
- 2024-01: Prompting Diverse Ideas: Increasing AI Idea Variance
- 2024-09: Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
- 2024-11:
Artificial Intelligence, Scientific Discovery, and Product Innovation- 2025-05: Retraction: Assuring an accurate research record
- 2024-12: Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models
- 2024-12: LLMs can realize combinatorial creativity: generating creative ideas via LLMs for scientific research
- 2024-12: LiveIdeaBench: Evaluating LLMs' Scientific Creativity and Idea Generation with Minimal Context
- 2025-03: The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise
- 2025-03: Midjourney: Modifying Large Language Model Post-Training for Diverse Creative Writing
- 2025-04: Has the Creativity of Large-Language Models peaked? An analysis of inter- and intra-LLM variability
- 2025-05: Creative Preference Optimization
- 2025-05: Generative AI and Creativity: A Systematic Literature Review and Meta-Analysis
- 2025-10: Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity
- 2025-10: Why Did Apple Fall To The Ground: Evaluating Curiosity In Large Language Model
- 2025-10: Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)
Benchmarks
See: AI benchmarks > Creativity
