Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models | Paper Citation Record

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models Perspectives on Science 14(2):153–188

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models arXiv preprint arXiv:251121631

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models In: Classification, clustering, and data analysis: recent advances and applications, Springer, pp 281–288

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models In: Proceedings of the AAAI conference on artificial in- telligence, vol 34, pp 7432–7439

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models Advances in neural information processing systems 37:57817–57840

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models arXiv preprint arXiv:260312658

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models Proceedings of the National Academy of Sciences 114(18):4637–4642

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models In: International Conference on Ma- chine Learning, PMLR, pp 6621–6642

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models arXiv preprint arXiv:180305457

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models IEEE Transactions on Ar- tificial Intelligence 7(3):1223–1237, DOI 10.1109/TAI

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models Advances in Neural Information Pro- cessing Systems 38

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models International Journal of Computer Vision 131(7):1857–1874

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models In: International Confer- ence on Learning Representations, vol 2025, pp 97114– 97144

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models In: Proceedings of the 58th annual meeting of the asso- ciation for computational linguistics, pp 8342–8360

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models In: The Fourteenth International Conference on Learn- ing Representations, URLhttps://openreview

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models Advances in neural information pro- cessing systems 36:45870–45894

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models IEEE Transactions on Image Processing

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models In: Proceedings of the 2023 conference on empirical meth- ods in natural language processing, pp 1051–1068

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models arXiv preprint Enlightenment-style Tuning for Large Models 15 arXiv:260630168

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models In: International Conference on Learning Rep- resentations, vol 2025, pp 34531–34582

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models Pro- ceedings of Machine Learning and Systems 5:341–353

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Observation d21750c9-736b-45c7-85e5-e7d00cebd4ff · outbound

This paper cites In: International Conference on Learning Representa- tions, vol 2024, pp 21875–21895.

Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models In: International Conference on Learning Representa- tions, vol 2024, pp 21875–21895

Reference 58

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Unavailable: canonical work link unavailable.

Observation 99afbc9e-93eb-4b95-a1c9-6b36c2998452 · outbound

This paper cites MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining.

Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-02T05:24:27.410070Z

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Observation 6d3c4f1b-acc8-4b7f-811c-4724cbc62a89 · outbound

This paper cites IEEE Transactions on Knowledge & Data Engineering 38(07):4674–4693, DOI 10.1109/TKDE.2026.3675811.

Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models IEEE Transactions on Knowledge & Data Engineering 38(07):4674–4693, DOI 10.1109/TKDE.2026.3675811

Reference 60

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Unavailable: canonical work link unavailable.

Observation 4d0f1eb6-a687-409c-9a9f-0dd21a0b696c · outbound

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models IEEE Transactions on Pattern Analysis and Machine In- telligence

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-02T05:24:27.682705Z

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Observation e56f92d3-6c6c-4d53-bf88-f5b22ed6febd · outbound

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Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models Advances in Neural In- formation Processing Systems 38:23706–23741

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-02T05:24:27.831998Z

Source-reported events for the cited work

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Observation d41bda80-ed00-402a-92fd-3f6ac10926b7 · outbound

This paper cites arXiv preprint arXiv:240615765.

Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models arXiv preprint arXiv:240615765

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-02T05:24:27.980374Z

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Observation a8c38af4-74cd-413b-b7ad-f0a15c247cd4 · outbound

This paper cites In: Proceed- ings of the IEEE/CVF conference on computer vision and pattern recognition, pp 9556–9567.

Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models In: Proceed- ings of the IEEE/CVF conference on computer vision and pattern recognition, pp 9556–9567

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-02T05:24:28.112046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74f3de5c-690d-4d33-a427-e6cec3e610ba · outbound

This paper cites arXiv preprint arXiv:221008340.

Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models arXiv preprint arXiv:221008340

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-02T05:24:28.252057Z

Source-reported events for the cited work

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Observation 99e3badc-036e-4674-b6dd-7e4c2b4c64b4 · outbound

This paper cites In: International Conference on Learning Representations, vol 2024, pp 42411–42430.

Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models In: International Conference on Learning Representations, vol 2024, pp 42411–42430

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-02T05:24:28.389192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 759eec79-9122-4239-b914-86537ed54a2e · outbound

This paper cites arXiv preprint arXiv:240910790.

Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models arXiv preprint arXiv:240910790

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-02T05:24:28.492980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation defbc647-bafe-4505-8a6d-93f14ad0dfb9 · outbound

This paper cites arXiv preprint arXiv:260401193.

Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models arXiv preprint arXiv:260401193

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-02T05:24:28.604687Z

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Observation 77a35330-cd8c-48e5-a678-152802465778 · outbound

This paper cites Journal of Machine Learning Research 25(194):1–74.

Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models Journal of Machine Learning Research 25(194):1–74

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-02T05:24:28.697824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3385b80-aa07-486e-b5fc-a37a151261ec · outbound

This paper cites arXiv preprint arXiv:260118734.

Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models arXiv preprint arXiv:260118734

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-02T05:24:28.788218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edc6503c-40d8-4de1-aaef-452f3cfce0d6 · outbound

This paper cites In: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, pp 8363–8371.

Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models In: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, pp 8363–8371

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-02T05:24:28.906606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 597db582-fcbe-415c-ae95-138d5855506f · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference, pp 1624–1633.

Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models In: Proceedings of the Computer Vision and Pattern Recognition Conference, pp 1624–1633

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-02T05:24:28.997057Z

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Outbound references

Pith citing papers