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AI models collapse when trained on recursively generated data.Nature, 631:755–759, 2024
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Crossref
28 open · 28 total · 0 disputed
- Event date
- 2025-03-21
01One-hop citing occurrences
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On the Robustness of Watermarking for Autoregressive Image Generation
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Shumailov, I., Shumaylov, Z., Zhao, Y., Papernot, N., Anderson, R., Gal, Y.: Ai models collapse when trained on recursively generated data. Nature631(8022), 755–759 (2024).https://doi.org/10.1038/s41586-024-07566-y
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CauSim: Scaling Causal Reasoning with Increasingly Complex Causal Simulators
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doi: 10.1038/s41586-024-07566-y
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Generative artificial intelligence reduces social welfare through model collapse
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I. Shumailov,et al., AI models collapse when trained on recursively generated data.Nature 631(8022), 755–759 (2024), doi:10.1038/s41586-024-07566-y
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Epistemological Debt: Cognitive Atrophy and Systemic Collapse in AI-Dependent Software Engineering
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doi:10.1038/s41586-024-07566-y
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Iterative Finetuning is Mostly Idempotent
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ISSN 1476-4687. doi: 10.1038/s41586-024-07566-y. Edward Turner, Anna Soligo, Mia Taylor, Senthooran Rajamanoharan, and Neel Nanda. Model organisms for emergent misalignment,
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ISSN 1476-4687. doi: 10.1038/s41586-024-07566-y. Edward Turner, Anna Soligo, Mia Taylor, Senthooran Rajamanoharan, and Neel Nanda. Model organisms for emergent misalignment
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Repurposing Image Diffusion Models for Adversarial Synthetic Structured Data: A Case Study of Ground Truth Drift
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2605.00788
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Shumailov, I., Shumaylov, Z., Zhao, Y., Papernot, N., Anderson, R., & Gal, Y. (2024). AI models collapse when trained on recursively generated data.Nature, 631, 755–759. https: //doi.org/10.1038/s41586-024-07566-y
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LLMs Have Made Failure Worth Publishing
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2604.06236
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doi:10.1038/s41586-024-07566-y. Alessandra Toniato, Alain C. Vaucher, Teodoro Laino, and Mara Graziani. Negative chemical data boosts language models in reaction outcome prediction.Science Advances, 11(24),
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doi:10.1038/s41586-024-07566-y. Alessandra Toniato, Alain C. Vaucher, Teodoro Laino, and Mara Graziani. Negative chemical data boosts language models in reaction outcome prediction.Science Advances, 11(24)
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Cognitive Agency Surrender: Defending Epistemic Sovereignty via Scaffolded AI Friction
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2603.21735
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Shumailov, I., Shumaylov, Z., Zhao, Y., Papernot, N., Anderson, R., Gal, Y.: Ai models collapse when trained on recursively generated data. Nature (2024) https://doi.org/10.1038/s41586-024-07566-y
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Silent Collapse in Recursive Learning Systems
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doi: 10.1038/s41586-024-07566-y
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FuXi-TC: A generative framework integrating deep learning and physics-based models for improved tropical cyclone forecasts
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2508.16168
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Shumailov, I., Shumaylov, Z., Zhao, Y., Papernot, N., Anderson, R., Gal, Y.: Ai models collapse when trained on recursively generated data. Nature 631(8022), 755–759 (2024) https://doi.org/10.1038/s41586-024-07566-y
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Scalable, Energy-Efficient Optical-Neural Architecture for Multiplexed Deepfake Video Detection
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2605.19360
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Shumailov, I., Shumaylov, Z., Zhao, Y. et al. AI models collapse when trained on recursively generated data. Nature 631, 755– 759 (2024). https://doi.org/10.1038/s41586-024-07566-y
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An Information-Theoretic Criterion for Efficient Data Synthesis
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Nature , volume =. doi:10.1038/s41586-024-07566-y , url =
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Nature, volume =. doi:10.1038/s41586-024-07566-y, url =
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How Human-Like Are Large Language Models? A Register-Aware Linguistic Evaluation Framework
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Nature , author =. 2024 , pages =. doi:10.1038/s41586-024-07566-y , abstract =
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Nature, author =. 2024, pages =. doi:10.1038/s41586-024-07566-y, abstract =
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Model Collapse as Cultural Evolution
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Ilia Shumailov and Zakhar Shumaylov and Yiren Zhao and Nicolas Papernot and Ross J. Anderson and Yarin Gal , title =. Nature , volume =. 2024 , burl =. doi:10.1038/S41586-024-07566-Y , timestamp =
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Ilia Shumailov and Zakhar Shumaylov and Yiren Zhao and Nicolas Papernot and Ross J. Anderson and Yarin Gal, title =. Nature, volume =. 2024, burl =. doi:10.1038/S41586-024-07566-Y, timestamp =
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What Do People Actually Want From AI? Mapping Preference Plurality
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2606.06674
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Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross Anderson, and Yarin Gal. 2024. AI models collapse when trained on recursively generated data.Nature631, 8022 (July 2024), 755–759. doi:10.1038/s41586-024-07566-y
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Mutation Without Variation: Convergence Dynamics in LLM-Driven Program Evolution
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2606.05408
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Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross Anderson, and Yarin Gal. 2024. AI models collapse when trained on recursively generated data.Nature631, 8022 (01 Jul 2024), 755–759. doi:10.1038/s41586-024-07566-y Gurkan et al
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q0: Primitives for Hyper-Epoch Pretraining
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2606.03938
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Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross Anderson, and Yarin Gal. AI models collapse when trained on recursively generated data.Nature, 631(8022):755– 759, 2024. doi: 10.1038/s41586-024-07566-y
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Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops
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2607.07663
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doi: 10.1038/s41586-024-07566-y
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Context-Conditioned Generative Models Enable Subnational Refinement of Sparse Humanitarian Surveys
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2605.31489
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I. Shumailov,et al., AI models collapse when trained on recursively generated data.Nature 631, 755–759 (2024), doi:10.1038/s41586-024-07566-y
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Hierarchical Synthetic Tabular Data Generation: A Hybrid Top-Down and Bottom-Up Framework
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doi: 10.1038/s41586-024-07566-y. URL https: //doi.org/10.1038/s41586-024-07566-y. Solatorio, A. V . and Dupriez, O. Realtabformer: Generating realistic relational and tabular data using transformers. arXiv preprint arXiv:2302.02041, 2023. Turanyksel, S. Adult income dataset. https://www. kaggle.com/datasets/serpilturanyksel/ adult-income, 2021. Umesh, C., Seegel-Schultz, K., Mahendra, M., Bej, S., and Wolkenhauer, O. Dependency-aware synthetic tabular data generation.Pattern Recog- nition, 179:113819, 2026. ISSN 0031-3203. doi: https://doi.org/10.1016/j.patcog.2026.113819. URL https://www.sciencedirect.com/ science/article/pii/S0031320326007843. Wang, Y ., Feng, D., Dai, Y ., Chen, Z., Huang, J., Anani- adou, S., Xie, Q., and Wang, H. Harmonic: Harnessing llms for tabular data synthesis and privacy protection. In Globerson, A., Mackey, L., Belgrave, D., Fan, A., Pa- quet, U., Tomczak, J., and Zhang, C. (eds.),Advances in Neural Information Processing Systems, volume 37, pp. 100196–100212. Curran Associates, Inc., 2024. doi: 10.52202/079017-3179. Xu, L., Skoularidou, M., Cuesta-Infante, A., and Veeramachaneni, K. Modeling tabular data using conditional gan. In Wallach, H., Larochell
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Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions
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2602.24176
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I. Shumailov, Z. Shumaylov, Y. Zhao, N. Papernot, R. Anderson, and Y. Gal. AI models collapse when trained on recursively generated data.Nature, 631(8022):755–759, 2024. doi: 10.1038/s41586-024-07566-y
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The Consensus Trap: Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotation
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Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross Anderson, and Yarin Gal. 2024. AI models collapse when trained on recursively generated data.Nature631, 8022 (2024), 755–759. doi:10.1038/s41586-024-07566-y
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Self-Study Reconsidered: The Hidden Fragility of Learning from Self-Generated QA
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Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross Anderson, and Yarin Gal. AI models collapse when trained on recursively generated data.Nature, 631(8022):755–759, 2024. doi: 10.1038/s41586-024-07566-y. URLhttps://doi.org/10.1038/s41586-024-07566-y
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Amplifying Membership Signal Through Chained Regeneration
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doi: 10.1038/s41586-024-07566-y
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AutoPersonas: A Multi-Timescale Loop Engine for Open-Ended Persona Evolution
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Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross Anderson, and Yarin Gal. AI models collapse when trained on recursively generated data.Nature, 631:755–759, 2024. doi: 10.1038/s41586-024-07566-y. URL https://www.nature.com/articles/s41586-024-0 7566-y
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MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages
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Shumailov, Ilia and Shumaylov, Zakhar and Zhao, Yiren and Papernot, Nicolas and Anderson, Ross and Gal, Yarin. AI models collapse when trained on recursively generated data. Nature. doi:10.1038/s41586-024-07566-y
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When transformers learn "impossible" languages, what do they learn?
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Shumailov, Ilia and Shumaylov, Zakhar and Zhao, Yiren and Papernot, Nicolas and Anderson, Ross and Gal, Yarin , month = jul, year =. Nature , publisher =. doi:10.1038/s41586-024-07566-y , abstract =
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Shumailov, Ilia and Shumaylov, Zakhar and Zhao, Yiren and Papernot, Nicolas and Anderson, Ross and Gal, Yarin, month = jul, year =. Nature, publisher =. doi:10.1038/s41586-024-07566-y, abstract =
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Agentic AI Scientists Are Not Built For Autonomous Scientific Discovery
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ISSN 1476-4687. doi: 10.1038/s41586-024-07566-y. Joseph P. Simmons, Leif D. Nelson, and Uri Simonsohn. False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant.Psychological Science, 22(11):1359–1366, 2011. ISSN 1467-9280. doi: 10.1177/0956797611417632. Leonid Teytelman, Alexei Stoliartchouk, Lori Kindler, and Bonnie L. Hurwitz. Protocols.io: Virtual Communities for Protocol Development and Discussion.PLOS Biology, 14(8):e1002538, August