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精選研究

機器遺忘 · 機制可解釋性 · 資訊完整性

研究

資料系統如何記憶、遺忘並呈現世界？

我研究機制可解釋性如何為機器遺忘提供依據，同時投入敘事遺忘、偏誤緩解、烏克蘭語 NLP 與參與式資料建模。

依出版月份由新到舊排列。發表演講的日期另行標示；碩士論文的典藏紀錄僅提供年份。

論文與預印本 ↓專案與資源 ↓碩士論文與博士研究計畫 ↓

2025–2026

論文與預印本

Google Scholar ↗
工作坊發表機器遺忘

Between Suppression and Collapse: Evaluating Narrative Unlearning with LENS

Viktoriia Makovska, George Fletcher

發表於 WIPE-OUT 2（第二屆機器遺忘與隱私保護工作坊），ECML PKDD 2026 · 2026年9月7日 · 義大利那不勒斯。

預印本：arXiv:2607.22657 · 2026年7月31日修訂。

LENS 檢驗模型是否在不同提示情境下重現目標敘事，同時衡量敘事抑制與輸出品質退化。

導讀與圖解 簡報（PDF，英文） 工作坊議程 arXiv PDF
引用格式
Makovska, V., & Fletcher, G. (2026). Between Suppression and Collapse: Evaluating Narrative Unlearning with LENS. arXiv:2607.22657. https://arxiv.org/abs/2607.22657
BibTeX
@misc{makovska2026lens,
  title = {Between Suppression and Collapse: Evaluating Narrative Unlearning with LENS},
  author = {Makovska, Viktoriia and Fletcher, George},
  year = {2026},
  eprint = {2607.22657},
  archivePrefix = {arXiv},
  primaryClass = {cs.CL},
  url = {https://arxiv.org/abs/2607.22657}
}
UNLP 2026 ACL Anthology 不實資訊分析

Graph-Based Detection of Disinformation Narrative Diffusion between Russian and Ukrainian Telegram Channels

Yuliia Vistak, Viktoriia Makovska, Vera Schmitt, Veronika Solopova

收錄於 Proceedings of the Fifth Ukrainian Natural Language Processing Conference (UNLP 2026)，第 80–96 頁，烏克蘭利維夫。計算語言學協會。

這項研究結合弱監督學習與傳播圖分析，將語意相關的主張分組，並探討不實資訊敘事如何在俄語及烏克蘭語 Telegram 頻道間流動。

導讀與圖解 ACL Anthology PDF
引用格式 
Vistak, Y., Makovska, V., Schmitt, V., & Solopova, V. (2026). Graph-Based Detection of Disinformation Narrative Diffusion between Russian and Ukrainian Telegram Channels. In Proceedings of the Fifth Ukrainian Natural Language Processing Conference (UNLP 2026), 80-96. Association for Computational Linguistics. https://aclanthology.org/2026.unlp-1.9/
BibTeX 
@inproceedings{vistak-etal-2026-graph,
  title = {Graph-Based Detection of Disinformation Narrative Diffusion between {R}ussian and {U}krainian {T}elegram Channels},
  author = {Vistak, Yuliia and Makovska, Viktoriia and Schmitt, Vera and Solopova, Veronika},
  booktitle = {Proceedings of the Fifth {U}krainian Natural Language Processing Conference ({UNLP} 2026)},
  year = {2026},
  address = {Lviv, Ukraine},
  publisher = {Association for Computational Linguistics},
  pages = {80--96},
  url = {https://aclanthology.org/2026.unlp-1.9/}
}
UNLP 2026 ACL Anthology 烏克蘭語 LLM

Data-Efficient Adaptation of Multilingual LLMs to Ukrainian

Yurii Paniv, Bohdan Didenko, Mykola Haltiuk, Vladyslav Humennyy, Andrian Kravchenko, Roman Kyslyi, Viktoriia Makovska, Artem Orlovskyi, Bohdan Ruban, Maksym-Yurii Rudko, Anastasiia Senyk, Nazarii Drushchak, Dmytro Chaplynskyi, Mariana Romanyshyn

收錄於 Proceedings of the Fifth Ukrainian Natural Language Processing Conference (UNLP 2026)，第 155–168 頁，烏克蘭利維夫。計算語言學協會。

以資料為核心、可重現的多語言模型烏克蘭語調適流程，結合詞彙表調整、跨語言品質篩選，以及翻譯與合成的指令資料。

導讀與圖解 ACL Anthology PDF
引用格式 
Paniv, Y., Didenko, B., Haltiuk, M., Humennyy, V., Kravchenko, A., Kyslyi, R., Makovska, V., Orlovskyi, A., Ruban, B., Rudko, M.-Y., Senyk, A., Drushchak, N., Chaplynskyi, D., & Romanyshyn, M. (2026). Data-Efficient Adaptation of Multilingual LLMs to Ukrainian. In Proceedings of the Fifth Ukrainian Natural Language Processing Conference (UNLP 2026), 155-168. Association for Computational Linguistics. https://aclanthology.org/2026.unlp-1.14/
BibTeX 
@inproceedings{paniv-etal-2026-data,
  title = {Data-Efficient Adaptation of Multilingual {LLM}s to {U}krainian},
  author = {Paniv, Yurii and Didenko, Bohdan and Haltiuk, Mykola and Humennyy, Vladyslav and Kravchenko, Andrian and Kyslyi, Roman and Makovska, Viktoriia and Orlovskyi, Artem and Ruban, Bohdan and Rudko, Maksym-Yurii and Senyk, Anastasiia and Drushchak, Nazarii and Chaplynskyi, Dmytro and Romanyshyn, Mariana},
  booktitle = {Proceedings of the Fifth {U}krainian Natural Language Processing Conference ({UNLP} 2026)},
  year = {2026},
  address = {Lviv, Ukraine},
  publisher = {Association for Computational Linguistics},
  pages = {155--168},
  url = {https://aclanthology.org/2026.unlp-1.14/}
}
DataEd 2026 CEUR-WS 資料建模教育

Seasoning Data Modeling Education with GARLIC: A Participatory Co-Design Framework

Viktoriia Makovska, Ihor Michurin, Mariia Tokhtamysh, George Fletcher, Julia Stoyanovich

收錄於 Proceedings of the Workshops of the EDBT/ICDT 2026 Joint Conference，DataEd'26：第五屆資料系統教育國際工作坊，芬蘭坦佩雷。CEUR Workshop Proceedings，第 4192 卷。2026年4月出版；工作坊於2026年3月24日舉行。

GARLIC 將 ONION 架構轉化為工作坊教學方法，透過角色扮演、共同整合、評論與反覆修訂，教授參與式實體關係建模。

導讀與圖解 GitHub 工作坊教材 ↗ CEUR 論文 PDF arXiv PDF
引用格式 
Makovska, V., Michurin, I., Tokhtamysh, M., Fletcher, G., & Stoyanovich, J. (2026). Seasoning Data Modeling Education with GARLIC: A Participatory Co-Design Framework. In Proceedings of the Workshops of the EDBT/ICDT 2026 Joint Conference, DataEd'26: 5th International Workshop on Data Systems Education. CEUR Workshop Proceedings, Vol. 4192. https://ceur-ws.org/Vol-4192/DataEd-paper4.pdf
BibTeX 
@inproceedings{Makovska2026GARLIC,
  title = {Seasoning Data Modeling Education with GARLIC: A Participatory Co-Design Framework},
  author = {Makovska, Viktoriia and Michurin, Ihor and Tokhtamysh, Mariia and Fletcher, George and Stoyanovich, Julia},
  booktitle = {Proceedings of the Workshops of the EDBT/ICDT 2026 Joint Conference},
  series = {CEUR Workshop Proceedings},
  volume = {4192},
  year = {2026},
  address = {Tampere, Finland},
  url = {https://ceur-ws.org/Vol-4192/DataEd-paper4.pdf},
  eprint = {2602.18274},
  archivePrefix = {arXiv},
  primaryClass = {cs.DB}
}
TeachNLP 2026 ACL Anthology

Bridging Applied Experience and Research Contexts in Ukrainian NLP Education

Yurii Paniv, Viktoriia Makovska

收錄於 Proceedings of the Seventh Workshop on Teaching Natural Language Processing (TeachNLP 2026)，第 78–83 頁，摩洛哥拉巴特。計算語言學協會。

介紹一門以烏克蘭語授課的大學部開放 NLP 課程，涵蓋符合在地文化的任務、融入課程的倫理議題、專題評量及公開教材。

導讀與圖解 ACL Anthology PDF DOI
引用格式 
Paniv, Y., & Makovska, V. (2026). Bridging Applied Experience and Research Contexts in Ukrainian NLP Education. In Proceedings of the Seventh Workshop on Teaching Natural Language Processing (TeachNLP 2026), 78-83. Association for Computational Linguistics. https://doi.org/10.18653/v1/2026.teachingnlp-1.12
BibTeX 
@inproceedings{paniv-makovska-2026-bridging-applied,
  title = {Bridging Applied Experience and Research Contexts in {U}krainian {NLP} Education},
  author = {Paniv, Yurii and Makovska, Viktoriia},
  booktitle = {Proceedings of the Seventh Workshop on Teaching Natural Language Processing ({T}each{NLP} 2026)},
  year = {2026},
  address = {Rabat, Morocco},
  publisher = {Association for Computational Linguistics},
  pages = {78--83},
  doi = {10.18653/v1/2026.teachingnlp-1.12},
  url = {https://aclanthology.org/2026.teachingnlp-1.12/}
}
arXiv Undone CS 2026 機器遺忘

Memory Undone: Between Knowing and Not Knowing in Data Systems

Viktoriia Makovska, George Fletcher, Julia Stoyanovich, Tetiana Zakharchenko

arXiv 預印本 arXiv:2602.21180 [cs.CY]，於 2026 年 2 月 24 日提交。2026 年 3 月 24 日於 Undone Computer Science 發表。

這篇立場論文區分抹除、機器遺忘、排除與遺忘，主張評估機器遺忘時，除了模型效用，也應考量透明度、課責與治理。

導讀與圖解 arXiv PDF Undone CS 摘要
引用格式 
Makovska, V., Fletcher, G., Stoyanovich, J., & Zakharchenko, T. (2026). Memory Undone: Between Knowing and Not Knowing in Data Systems. arXiv preprint arXiv:2602.21180. https://arxiv.org/abs/2602.21180
BibTeX 
@misc{Makovska2026MemoryUndone,
  title = {Memory Undone: Between Knowing and Not Knowing in Data Systems},
  author = {Makovska, Viktoriia and Fletcher, George and Stoyanovich, Julia and Zakharchenko, Tetiana},
  year = {2026},
  eprint = {2602.21180},
  archivePrefix = {arXiv},
  primaryClass = {cs.CY},
  url = {https://arxiv.org/abs/2602.21180}
}
HILDA 2025 參與式 ER 設計

ONION: A Multi-Layered Framework for Participatory ER Design

Viktoriia Makovska, George Fletcher, Julia Stoyanovich

收錄於 Proceedings of the Workshop on Human-In-the-Loop Data Analytics (HILDA '25)，2025年6月22日，德國柏林。

ONION 是五階段的參與式方法，將利害關係人提供的非結構化意見轉化為實體關係模型，讓假設、遺漏與設計者的選擇更容易被檢視。

導讀與圖解 DOI arXiv PDF
引用格式 
Makovska, V., Fletcher, G., & Stoyanovich, J. (2025). ONION: A Multi-Layered Framework for Participatory ER Design. In Proceedings of the Workshop on Human-In-the-Loop Data Analytics (HILDA '25). https://doi.org/10.1145/3736733.3736736
BibTeX 
@inproceedings{Makovska2025ONION,
  author = {Makovska, Viktoriia and Fletcher, George and Stoyanovich, Julia},
  title = {ONION: A Multi-Layered Framework for Participatory ER Design},
  booktitle = {Proceedings of the Workshop on Human-In-the-Loop Data Analytics (HILDA '25)},
  year = {2025},
  doi = {10.1145/3736733.3736736}
}
MS-AMLV 研討會論文維基百科

Vandalism or Propaganda? Enhancing Vandalism Detection in Ukrainian and Russian Wikipedia through Knowledge Manipulation Filtering

Viktoriia Makovska, Mykola Trokhymovych, Diego Saez-Trumper

第六屆資料探勘、機器學習與電腦視覺進展碩士生研討會（MS-AMLV 2025），2025年3月28–29日，烏克蘭利維夫。

這項研究探討如何利用俄羅斯政府支持的維基百科分支中的變更，作為辨識烏克蘭語與俄語維基百科編輯中知識操弄的訊號。

導讀與圖解 PDF ↗研討會議程 ↗Google Scholar ↗
引用格式
Makovska, V., Trokhymovych, M., & Saez-Trumper, D. (2025). Vandalism or Propaganda? Enhancing Vandalism Detection in Ukrainian and Russian Wikipedia through Knowledge Manipulation Filtering. 6th Masters Symposium on Advances in Data Mining, Machine Learning, and Computer Vision (MS-AMLV 2025). https://apps.ucu.edu.ua/wp-content/uploads/2025/07/MS-AMLV-2025-CR-Submission-No-9.pdf
BibTeX
@misc{makovska2025vandalismpropaganda,
  title = {Vandalism or Propaganda? Enhancing Vandalism Detection in Ukrainian and Russian Wikipedia through Knowledge Manipulation Filtering},
  author = {Makovska, Viktoriia and Trokhymovych, Mykola and Saez-Trumper, Diego},
  year = {2025},
  note = {MS-AMLV 2025 symposium paper, Ukrainian Catholic University, Lviv},
  url = {https://apps.ucu.edu.ua/wp-content/uploads/2025/07/MS-AMLV-2025-CR-Submission-No-9.pdf}
}

開放成果

專案與資源

2026年 · 研究補助

FairForget

我與 Tetiana Zakharchenko 研究機器遺忘之後的公平性與隱藏偏誤。我們的專案獲得 Women Led Science 支持。

計畫公告

基礎

碩士論文與博士研究計畫