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ORCIDTodor Mihaylov
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2020 – today
- 2024
[b1]Todor Mihaylov:
Knowledge-Enhanced Neural Networks for Machine Reading Comprehension. University of Heidelberg, Germany, 2024- 2023
- [c20]Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Veselin Stoyanov, Ivan Koychev, Preslav Nakov, Dragomir Radev:
bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark. ACL (1) 2023: 8733-8759 - [c19]Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz, Tianlu Wang:
Understanding In-Context Learning via Supportive Pretraining Data. ACL (1) 2023: 12660-12673 - [c18]Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan:
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. CVPR 2023: 6967-6977 - [i21]Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan:
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. CoRR abs/2301.02280 (2023) - [i20]Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Ves Stoyanov, Ivan Koychev, Preslav Nakov, Dragomir Radev:
bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark. CoRR abs/2306.02349 (2023) - [i19]Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz, Tianlu Wang:
Understanding In-Context Learning via Supportive Pretraining Data. CoRR abs/2306.15091 (2023) - [i18]Hugo Touvron, Louis Martin, Kevin Stone, Peter 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 Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel 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 Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael 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, Aurélien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom:
Llama 2: Open Foundation and Fine-Tuned Chat Models. CoRR abs/2307.09288 (2023) - 2022
- [c17]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:
Few-shot Learning with Multilingual Generative Language Models. EMNLP 2022: 9019-9052 - [c16]Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giridharan Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeffrey Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Veselin Stoyanov:
Efficient Large Scale Language Modeling with Mixtures of Experts. EMNLP 2022: 11699-11732 - [c15]Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva:
Improving In-Context Few-Shot Learning via Self-Supervised Training. NAACL-HLT 2022: 3558-3573 - [i17]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:
OPT: Open Pre-trained Transformer Language Models. CoRR abs/2205.01068 (2022) - [i16]Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva:
Improving In-Context Few-Shot Learning via Self-Supervised Training. CoRR abs/2205.01703 (2022) - [i15]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:
OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization. CoRR abs/2212.12017 (2022) - 2021
- [i14]Todor Mihaylov, Ivan Koychev, Georgi Georgiev, Preslav Nakov:
Exposing Paid Opinion Manipulation Trolls. CoRR abs/2109.13726 (2021) - [i13]Tsvetomila Mihaylova, Pepa Gencheva, Martin Boyanov, Ivana Yovcheva, Todor Mihaylov, Momchil Hardalov, Yasen Kiprov, Daniel Balchev, Ivan Koychev, Preslav Nakov, Ivelina Nikolova, Galia Angelova:
SUper Team at SemEval-2016 Task 3: Building a feature-rich system for community question answering. CoRR abs/2109.15120 (2021) - [i12]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:
Few-shot Learning with Multilingual Language Models. CoRR abs/2112.10668 (2021) - [i11]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 Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Ves Stoyanov:
Efficient Large Scale Language Modeling with Mixtures of Experts. CoRR abs/2112.10684 (2021) - 2020
- [c14]Momchil Hardalov
, Todor Mihaylov, Dimitrina Zlatkova, Yoan Dinkov, Ivan Koychev, Preslav Nakov:
EXAMS: A Multi-subject High School Examinations Dataset for Cross-lingual and Multilingual Question Answering. EMNLP (1) 2020: 5427-5444 - [i10]Momchil Hardalov, Todor Mihaylov, Dimitrina Zlatkova, Yoan Dinkov, Ivan Koychev, Preslav Nakov:
EXAMS: A Multi-Subject High School Examinations Dataset for Cross-Lingual and Multilingual Question Answering. CoRR abs/2011.03080 (2020)
2010 – 2019
- 2019
- [c13]Todor Mihaylov, Anette Frank:
Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension. EMNLP/IJCNLP (1) 2019: 2541-2552 - [i9]Todor Mihaylov, Anette Frank:
Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension. CoRR abs/1908.10721 (2019) - [i8]Todor Mihaylov, Preslav Nakov:
Hunting for Troll Comments in News Community Forums. CoRR abs/1911.08113 (2019) - [i7]Todor Mihaylov, Preslav Nakov:
SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings. CoRR abs/1911.08743 (2019) - 2018
- [j1]Todor Mihaylov, Tsvetomila Mihaylova, Preslav Nakov, Lluís Màrquez, Georgi Georgiev, Ivan Koychev:
The dark side of news community forums: opinion manipulation trolls. Internet Res. 28(5): 1292-1312 (2018) - [c12]Todor Mihaylov, Anette Frank:
Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge. ACL (1) 2018: 821-832 - [c11]Todor Mihaylov, Peter Clark, Tushar Khot, Ashish Sabharwal:
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering. EMNLP 2018: 2381-2391 - [c10]Markus Zopf, Teresa Botschen, Tobias Falke, Benjamin Heinzerling, Ana Marasovic, Todor Mihaylov, Avinesh P. V. S., Eneldo Loza Mencía, Johannes Fürnkranz, Anette Frank:
What's Important in a Text? An Extensive Evaluation of Linguistic Annotations for Summarization. SNAMS 2018: 272-277 - [i6]Todor Mihaylov, Anette Frank:
Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge. CoRR abs/1805.07858 (2018) - [i5]Todor Mihaylov, Peter Clark, Tushar Khot, Ashish Sabharwal:
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering. CoRR abs/1809.02789 (2018) - 2017
- [c9]Todor Mihaylov, Anette Frank:
Story Cloze Ending Selection Baselines and Data Examination. LSDSem@EACL 2017: 87-92 - [c8]Todor Mihaylov, Daniel Balchev, Yasen Kiprov, Ivan Koychev, Preslav Nakov:
Large-Scale Goodness Polarity Lexicons for Community Question Answering. SIGIR 2017: 1185-1188 - [i4]Todor Mihaylov, Anette Frank:
Story Cloze Ending Selection Baselines and Data Examination. CoRR abs/1703.04330 (2017) - [i3]Todor Mihaylov, Daniel Balchev, Yasen Kiprov, Ivan Koychev, Preslav Nakov:
Large-Scale Goodness Polarity Lexicons for Community Question Answering. CoRR abs/1707.06378 (2017) - [i2]Todor Mihaylov, Zornitsa Kozareva, Anette Frank:
Neural Skill Transfer from Supervised Language Tasks to Reading Comprehension. CoRR abs/1711.03754 (2017) - 2016
- [c7]Todor Mihaylov, Preslav Nakov:
Hunting for Troll Comments in News Community Forums. ACL (2) 2016 - [c6]Todor Mihaylov, Anette Frank:
Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings. CoNLL Shared Task 2016: 100-107 - [c5]Tsvetomila Mihaylova, Pepa Gencheva, Martin Boyanov, Ivana Yovcheva, Todor Mihaylov, Momchil Hardalov, Yasen Kiprov, Daniel Balchev, Ivan Koychev, Preslav Nakov, Ivelina Nikolova, Galia Angelova:
SUper Team at SemEval-2016 Task 3: Building a Feature-Rich System for Community Question Answering. SemEval@NAACL-HLT 2016: 836-843 - [c4]Todor Mihaylov, Preslav Nakov:
SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings. SemEval@NAACL-HLT 2016: 879-886 - [i1]Todor Mihaylov, Anette Frank:
AIPHES-HD system at TAC KBP 2016: Neural Event Trigger Span Detection and Event Type and Realis Disambiguation with Word Embeddings. TAC 2016 - 2015
- [c3]Todor Mihaylov, Georgi Georgiev, Preslav Nakov:
Finding Opinion Manipulation Trolls in News Community Forums. CoNLL 2015: 310-314 - [c2]Todor Mihaylov, Ivan Koychev, Georgi Georgiev, Preslav Nakov:
Exposing Paid Opinion Manipulation Trolls. RANLP 2015: 443-450 - 2014
- [c1]Boris Velichkov, Borislav Kapukaranov, Ivan Grozev, Jeni Karanesheva, Todor Mihaylov, Yasen Kiprov, Preslav Nakov, Ivan Koychev, Georgi Georgiev:
SU-FMI: System Description for SemEval-2014 Task 9 on Sentiment Analysis in Twitter. SemEval@COLING 2014: 590-595
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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