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Todor Mihaylov

2014–2025 年に発表

32
論文数
21,006
被引用数
21
h 指数
23
i10 指数

被引用数

Todor Mihaylov の年別被引用数2015 年: 被引用 5 件2016 年: 被引用 45 件2017 年: 被引用 57 件2018 年: 被引用 51 件2019 年: 被引用 118 件2020 年: 被引用 103 件2021 年: 被引用 112 件2022 年: 被引用 289 件2023 年: 被引用 2,300 件2024 年: 被引用 7,774 件2025 年: 被引用 7,503 件2026 年: 被引用 2,331 件2027 年: 被引用 1 件

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 2,441 件、この内訳の 25.4%中国: 引用元論文 2,285 件、この内訳の 23.7%イギリス: 引用元論文 566 件、この内訳の 5.9%香港: 引用元論文 400 件、この内訳の 4.2%ドイツ: 引用元論文 384 件、この内訳の 4%カナダ: 引用元論文 340 件、この内訳の 3.5%シンガポール: 引用元論文 302 件、この内訳の 3.1%韓国: 引用元論文 287 件、この内訳の 3%オーストラリア: 引用元論文 217 件、この内訳の 2.2%日本: 引用元論文 204 件、この内訳の 2.1%インド: 引用元論文 190 件、この内訳の 2%フランス: 引用元論文 181 件、この内訳の 1.9%
0%25.4%その他 19%

機関

分野

  • Computer Science79.1%
  • Engineering4.4%
  • Social Sciences4.1%
  • Medicine2.4%
  • Decision Sciences1.9%
  • Psychology1.6%
  • その他6.5%

トピック

  • Topic Modeling15.9%
  • Natural Language Processing Techniques11.4%
  • Multimodal Machine Learning Applications5.4%
  • Domain Adaptation and Few-Shot Learning2%
  • Adversarial Robustness in Machine Learning1.9%
  • Advanced Neural Network Applications1.7%
  • その他61.7%

共著者

全論文

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  1. Llama 2: Open Foundation and Fine-Tuned Chat Models

    著者: Hugo Touvron, Louis Martin, Kevin H. Stone, Peter J. Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony S. Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel M. Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew M. Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric M. Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurelien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom - arXiv (Cornell University), CoRR 2023 被引用: 14,585

  2. OPT: Open Pre-trained Transformer Language Models

    著者: Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona T. Diab, Xian Li, Xi Victoria Lin, Todor Mihaylov, Myle Ott, Sam Shleifer, Kurt Shuster, Daniel Simig, Punit Singh Koura, Anjali Sridhar, Tianlu Wang, Luke Zettlemoyer - CoRR 2022 被引用: 2,918

  3. Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

    著者: Todor Mihaylov, Peter Clark, Tushar Khot, Ashish Sabharwal - Conference on Empirical Methods in Natural Language Processing, EMNLP 2018 被引用: 1,242

  4. Analysing Off-The-Shelf Options for Question Answering with Portuguese FAQs

    著者: Susan Zhang, Stephen Roller, Goyal, Naman, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona Diab, Xian Li, Xi Victoria Lin, Todor Mihaylov, Myle Ott, Sam Shleifer, Kurt Shuster, Daniel Simig, Punit Singh Koura, Anjali Sridhar, Tianlu Wang, Luke Zettlemoyer - SLATE 2022 被引用: 919

  5. OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

    著者: Srinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, Todor Mihaylov, Daniel Simig, Ping Yu, Kurt Shuster, Tianlu Wang, Qing Liu, Punit Singh Koura, Xian Li, Brian O'Horo, Gabriel Pereyra, Jeff Wang, Christopher Dewan, Asli Celikyilmaz, Luke Zettlemoyer, Ves Stoyanov - arXiv (Cornell University), CoRR 2022 被引用: 232

  6. Few-shot Learning with Multilingual Language Models

    著者: Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li - arXiv (Cornell University), CoRR 2021 被引用: 167

  7. Efficient Large Scale Language Modeling with Mixtures of Experts

    著者: Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giri Anantharaman, Xian Li, Shuohui Chen, Halil Akın, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O’Horo, Jeff Wang, Luke Zettlemoyer, Mona Diab, Zornitsa Kozareva, Ves Stoyanov - Conference on Empirical Methods in Natural Language Processing, EMNLP 2022 被引用: 117

  8. Few-shot Learning with Multilingual Generative Language Models

    著者: Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li - Conference on Empirical Methods in Natural Language Processing, EMNLP 2022 被引用: 114

  9. Proceedings of the 5th Workshop on Representation Learning for NLP

    著者: Lin Chen, Danlu Chen, Yue Chen, Yu Cheng, Manuel R. Ciosici, William W. Cohen, Christopher Davis, Eliezer De Souza Da, Luciano Silva, Del Corro, Zhihong Deng, Leon Derczynski, Shehzaad Dhuliawala, Giuseppe Antonio, Di Luna, Kalpit Dixit, Aleksandr Drozd, Kevin Duh, Necati Bora, E. Guy, Emerson Fernandes, Orhan Fırat, Rainer Gemulla, Kevin Gimpel, Hongyu Gong, Ana Suárez González, Batool A Haider, He He, Ji He, Jiaji Huang, Sung Hee Hwang, Robin Jia, Mark Johnson, Arzoo Katiyar, Santosh Kesiraju, Douwe Kiela, Ekaterina Kochmar, Julia Kreutzer, Shankar Kumar, John Lalor, Carolin Lawrence, Kenton Lee, Xiang Li, Shaohua Li, Tao Li, Bill Yuchen Lin, Chu‐Cheng Lin, Peng Liu, Feifan Liu, Suresh Manandhar, Luca Massarelli, Sneha Mehta, Todor Mihaylov, Tsvetomila Mihaylova, Swaroop Mishra, Ashutosh Modi, Lili Mou, Maximilian Mozes, Khalil Mrini, Phoebe Mulcaire, Nikita Nangia, Shashi Narayan, Thien Huu Nguyen, Tsuyoshi Okita, Ankur Padia, Ashwin Paranjape, Tom Pelsmaeker, Aleksandra Piktus, Vassilis Plachouras, Edoardo Maria Ponti, Ratish Puduppully, Leonardo Querzoni, Chris Quirk, Vipul Raheja, Muhammad Mahbubur Rahman, Natraj Raman, Surangika Ranathunga, Siva Reddy, Sravana Reddy, Roi Reichart, Devendra Singh Sachan, Marzieh Saeidi, Avneesh Saluja, Hinrich Schütze, Tianze Shi, Vered Shwartz, Kyungwoo Song, Daniil Sorokin, Lucia Specia, Mark Steedman, Karl Stratos, Ming Sun, Jörg Tiedemann, Ivan Titov, Nadi Tomeh, Shubham Toshniwal, Kristina Toutanova, Lifu Tu, Lyle Ungar, Menno van Zaanen ほか 1,949 名 - 2020 被引用: 48

  10. Improving In-Context Few-Shot Learning via Self-Supervised Training

    著者: Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva - Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2022 被引用: 36

  11. EXAMS: A Multi-Subject High School Examinations Dataset for Cross-Lingual and Multilingual Question Answering

    著者: Momchil Hardalov, Todor Mihaylov, Dimitrina Zlatkova, Yoan Dinkov, Ivan Koychev, Preslav Nakov - Conference on Empirical Methods in Natural Language Processing (EMNLP), EMNLP (1) 2020 被引用: 26

  12. Understanding In-Context Learning via Supportive Pretraining Data

    著者: Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz, Tianlu Wang - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2023 被引用: 17

  13. Optimizing Pretraining Data Mixtures with LLM-Estimated Utility

    著者: William Barr Held, Bhargavi Paranjape, Punit Singh Koura, Mike Lewis, Frank Zhang, Todor Mihaylov - ArXiv.org, CoRR 2025 被引用: 15

  14. Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training

    著者: Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023 被引用: 42

  15. Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge

    著者: Todor Mihaylov, Anette Frank - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2018 被引用: 43

  16. Finding Opinion Manipulation Trolls in News Community Forums

    著者: Todor Mihaylov, Georgi Georgiev, Preslav Nakov - Nineteenth Conference on Computational Natural Language Learning, CoNLL 2015 被引用: 135

  17. Hunting for Troll Comments in News Community Forums

    著者: Todor Mihaylov, Preslav Nakov - Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), ACL (2) 2016 被引用: 77

  18. The dark side of news community forums: opinion manipulation trolls

    著者: Todor Mihaylov, Tsvetomila Mihaylova, Preslav Nakov, Lluís Màrquez, Georgi Georgiev, Ivan Koychev - Internet Research, Internet Res. 2018 被引用: 53

  19. Correlating and Predicting Human Evaluations of Language Models from Natural Language Processing Benchmarks

    著者: Rylan Schaeffer, Punit Singh Koura, Binh Tang, Ranjan Subramanian, Aaditya K. Singh, Todor Mihaylov, Prajjwal Bhargava, Lovish Madaan, Niladri S. Chatterji, Vedanuj Goswami, Sergey Edunov, Dieuwke Hupkes, Sanmi Koyejo, Sharan Narang - ArXiv.org, CoRR 2025 被引用: 3

  20. Exposing Paid Opinion Manipulation Trolls

    著者: Todor Mihaylov, Ivan Koychev, Georgi Georgiev, Preslav Nakov - RANLP 2015 被引用: 42

  21. Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension

    著者: Todor Mihaylov, Anette Frank - Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), EMNLP/IJCNLP (1) 2019 被引用: 26

  22. SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings

    著者: Todor Mihaylov, Preslav Nakov - Workshop on Semantic Evaluation (SemEval-2016), SemEval@NAACL-HLT 2016 被引用: 65

  23. Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings

    著者: Todor Mihaylov, Anette Frank - CoNLL-16 shared task, CoNLL Shared Task 2016 被引用: 29

  24. SUper Team at SemEval-2016 Task 3: Building a Feature-Rich System for Community Question Answering

    著者: Tsvetomila Mihaylova, Pepa Gencheva, Martin Boyanov, Ivana Yovcheva, Todor Mihaylov, Momchil Hardalov, Yasen Kiprov, Daniel Balchev, Ivan Koychev, Preslav Nakov, Ivelina Nikolova, Galia Angelova - Workshop on Semantic Evaluation (SemEval-2016), SemEval@NAACL-HLT 2016 被引用: 24