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Ilia Markov
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2020 – today
- 2024
- [c45]Yeshan Wang, Ilia Markov:
CLTL@Multimodal Hate Speech Event Detection 2024: The Winning Approach to Detecting Multimodal Hate Speech and Its Targets. CASE 2024: 73-78 - [c44]Saleh Ashkboos, Ilia Markov, Elias Frantar, Tingxuan Zhong, Xincheng Wang, Jie Ren, Torsten Hoefler, Dan Alistarh:
QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models. EMNLP 2024: 3355-3371 - [c43]Selene Baez Santamaría, Helena Gómez-Adorno, Ilia Markov:
Contextualized Graph Representations for Generating Counter-Narratives against Hate Speech. EMNLP (Findings) 2024: 7664-7674 - [c42]Ilia Markov, Kaveh Alim, Elias Frantar, Dan Alistarh:
L-GreCo: Layerwise-adaptive Gradient Compression For Efficient Data-parallel Deep Learning. MLSys 2024 - [c41]Wondimagegnhue Tufa, Ilia Markov, Piek Vossen:
Unknown Script: Impact of Script on Cross-Lingual Transfer. NAACL (Student Research Workshop) 2024: 124-129 - [c40]Wondimagegnhue Tsegaye Tufa, Ilia Markov, Piek Vossen:
Grounding Toxicity in Real-World Events Across Languages. NLDB (1) 2024: 197-210 - [c39]Yeshan Wang, Ilia Markov:
CLTL at DIMEMEX Shared Task: Fine-Grained Detection of Hate Speech in Memes. IberLEF@SEPLN 2024 - [c38]Yeshan Wang, Ilia Markov:
CLTL at ArAIEval Shared Task: Multimodal Propagandistic Memes Classification Using Transformer Models. ArabicNLP 2024: 501-506 - [i15]Wondimagegnhue Tsegaye Tufa, Ilia Markov, Piek Vossen:
The Constant in HATE: Analyzing Toxicity in Reddit across Topics and Languages. CoRR abs/2404.18726 (2024) - [i14]Wondimagegnhue Tsegaye Tufa, Ilia Markov, Piek Vossen:
Unknown Script: Impact of Script on Cross-Lingual Transfer. CoRR abs/2404.18810 (2024) - [i13]Stefan F. Schouten, Peter Bloem, Ilia Markov, Piek Vossen:
Truth-value judgment in language models: belief directions are context sensitive. CoRR abs/2404.18865 (2024) - [i12]Wondimagegnhue Tsegaye Tufa, Ilia Markov, Piek Vossen:
Grounding Toxicity in Real-World Events across Languages. CoRR abs/2405.13754 (2024) - [i11]Shashata Sawmya, Linghao Kong, Ilia Markov, Dan Alistarh, Nir Shavit:
Sparse Expansion and Neuronal Disentanglement. CoRR abs/2405.15756 (2024) - [i10]Armand Nicolicioiu, Eugenia Iofinova, Eldar Kurtic, Mahdi Nikdan, Andrei Panferov, Ilia Markov, Nir Shavit, Dan Alistarh:
Panza: A Personalized Text Writing Assistant via Data Playback and Local Fine-Tuning. CoRR abs/2407.10994 (2024) - [i9]Yee Man Ng, Ilia Markov:
Leveraging Open-Source Large Language Models for Native Language Identification. CoRR abs/2409.09659 (2024) - 2023
- [j10]Lisa Hilte, Ilia Markov, Nikola Ljubesic, Darja Fiser, Walter Daelemans:
Who are the haters? A corpus-based demographic analysis of authors of hate speech. Frontiers Artif. Intell. 6 (2023) - [c37]Stefan F. Schouten, Peter Bloem, Ilia Markov, Piek Vossen:
Reasoning about Ambiguous Definite Descriptions. EMNLP (Findings) 2023: 4479-4484 - [c36]Ilia Markov, Adrian Vladu, Qi Guo, Dan Alistarh:
Quantized Distributed Training of Large Models with Convergence Guarantees. ICML 2023: 24020-24044 - [c35]Stefan F. Schouten, Baran Barbarestani, Wondimagegnhue Tufa, Piek Vossen, Ilia Markov:
Cross-Domain Toxic Spans Detection. NLDB 2023: 533-545 - [i8]Ilia Markov, Adrian Vladu, Qi Guo, Dan Alistarh:
Quantized Distributed Training of Large Models with Convergence Guarantees. CoRR abs/2302.02390 (2023) - [i7]Stefan F. Schouten, Baran Barbarestani, Wondimagegnhue Tufa, Piek Vossen, Ilia Markov:
Cross-Domain Toxic Spans Detection. CoRR abs/2306.09642 (2023) - [i6]Saleh Ashkboos, Ilia Markov, Elias Frantar, Tingxuan Zhong, Xincheng Wang, Jie Ren, Torsten Hoefler, Dan Alistarh:
Towards End-to-end 4-Bit Inference on Generative Large Language Models. CoRR abs/2310.09259 (2023) - [i5]Stefan F. Schouten, Peter Bloem, Ilia Markov, Piek Vossen:
Reasoning about Ambiguous Definite Descriptions. CoRR abs/2310.14657 (2023) - 2022
- [j9]Ilia Markov, Vivi Nastase, Carlo Strapparava:
Exploiting native language interference for native language identification. Nat. Lang. Eng. 28(2): 167-197 (2022) - [j8]Dan Alistarh, Ilia Markov, Giorgi Nadiradze:
Elastic Consistency: A Consistency Criterion for Distributed Optimization. SIGACT News 53(2): 64-82 (2022) - [c34]Ilia Markov, Hamidreza Ramezani-Kebrya, Dan Alistarh:
CGX: adaptive system support for communication-efficient deep learning. Middleware 2022: 241-254 - [c33]Ilia Markov, Ine Gevers, Walter Daelemans:
An Ensemble Approach for Dutch Cross-Domain Hate Speech Detection. NLDB 2022: 3-15 - [i4]Mohammadreza Alimohammadi, Ilia Markov, Elias Frantar, Dan Alistarh:
L-GreCo: An Efficient and General Framework for Layerwise-Adaptive Gradient Compression. CoRR abs/2210.17357 (2022) - 2021
- [c32]Giorgi Nadiradze, Ilia Markov, Bapi Chatterjee, Vyacheslav Kungurtsev, Dan Alistarh:
Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent. AAAI 2021: 9037-9045 - [c31]Janek Bevendorff, Berta Chulvi, Gretel Liz De la Peña Sarracén, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle:
Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection. CLEF 2021: 419-431 - [c30]Mike Kestemont, Enrique Manjavacas, Ilia Markov, Janek Bevendorff, Matti Wiegmann, Efstathios Stamatatos, Benno Stein, Martin Potthast:
Overview of the Cross-Domain Authorship Verification Task at PAN 2021. CLEF (Working Notes) 2021: 1743-1759 - [c29]Janek Bevendorff, Berta Chulvi, Gretel Liz De la Peña Sarracén, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco Manuel Rangel Pardo, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle:
Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection - Extended Abstract. ECIR (2) 2021: 567-573 - [c28]Karen Klein, Guillermo Pascual-Perez, Michael Walter, Chethan Kamath, Margarita Capretto, Miguel Cueto, Ilia Markov, Michelle Yeo, Joël Alwen, Krzysztof Pietrzak:
Keep the Dirt: Tainted TreeKEM, Adaptively and Actively Secure Continuous Group Key Agreement. SP 2021: 268-284 - [c27]Ilia Markov, Nikola Ljubesic, Darja Fiser, Walter Daelemans:
Exploring Stylometric and Emotion-Based Features for Multilingual Cross-Domain Hate Speech Detection. WASSA@EACL 2021: 149-159 - [i3]Ilia Markov, Hamidreza Ramezani-Kebrya, Dan Alistarh:
Project CGX: Scalable Deep Learning on Commodity GPUs. CoRR abs/2111.08617 (2021) - 2020
- [c26]Jens Lemmens, Ben Burtenshaw, Ehsan Lotfi, Ilia Markov, Walter Daelemans:
Sarcasm Detection Using an Ensemble Approach. Fig-Lang@ACL 2020: 264-269 - [c25]Janek Bevendorff, Bilal Ghanem, Anastasia Giachanou, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco M. Rangel Pardo, Paolo Rosso, Günther Specht, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Eva Zangerle:
Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection. CLEF 2020: 372-383 - [c24]Mike Kestemont, Enrique Manjavacas, Ilia Markov, Janek Bevendorff, Matti Wiegmann, Efstathios Stamatatos, Martin Potthast, Benno Stein:
Overview of the Cross-Domain Authorship Verification Task at PAN 2020. CLEF (Working Notes) 2020 - [c23]Ehsan Lotfi, Ilia Markov, Walter Daelemans:
A Deep Generative Approach to Native Language Identification. COLING 2020: 1778-1783 - [c22]Fartash Faghri, Iman Tabrizian, Ilia Markov, Dan Alistarh, Daniel M. Roy, Ali Ramezani-Kebrya:
Adaptive Gradient Quantization for Data-Parallel SGD. NeurIPS 2020 - [i2]Fartash Faghri, Iman Tabrizian, Ilia Markov, Dan Alistarh, Daniel M. Roy, Ali Ramezani-Kebrya:
Adaptive Gradient Quantization for Data-Parallel SGD. CoRR abs/2010.12460 (2020)
2010 – 2019
- 2019
- [j7]Helena Gómez-Adorno, Roddy Fuentes-Alba, Ilia Markov, Grigori Sidorov, Alexander F. Gelbukh:
A convolutional neural network approach for gender and language variety identification. J. Intell. Fuzzy Syst. 36(5): 4845-4855 (2019) - [j6]Grigori Sidorov, Ilia Markov, Olga Kolesnikova, Liliana Chanona-Hernández:
Human interaction with shopping assistant robot in natural language. J. Intell. Fuzzy Syst. 36(5): 4889-4899 (2019) - [c21]Ilia Markov, Vivi Nastase, Carlo Strapparava:
Anglicized Words and Misspelled Cognates in Native Language Identification. BEA@ACL 2019: 275-284 - [c20]Ilia Markov, Éric Villemonte de la Clergerie:
INRIA at SemEval-2019 Task 9: Suggestion Mining Using SVM with Handcrafted Features. SemEval@NAACL-HLT 2019: 1204-1207 - [i1]Giorgi Nadiradze, Amirmojtaba Sabour, Aditya Sharma, Ilia Markov, Vitaly Aksenov, Dan Alistarh:
PopSGD: Decentralized Stochastic Gradient Descent in the Population Model. CoRR abs/1910.12308 (2019) - 2018
- [c19]Ilia Markov, Vivi Nastase, Carlo Strapparava:
Punctuation as Native Language Interference. COLING 2018: 3456-3466 - [c18]Ilia Markov, Grigori Sidorov:
CIC-IPN@INLI2018: Indian Native Language Identification. FIRE (Working Notes) 2018: 82-88 - [c17]Ilia Markov, Helena Gómez-Adorno, Mónica Jasso Rosales, Grigori Sidorov:
CIC-GIL Approach to Author Profiling in Spanish Tweets: Location and Occupation. IberEval@SEPLN 2018: 97-101 - [c16]Ilia Markov, Vivi Nastase, Carlo Strapparava, Grigori Sidorov:
The Role of Emotions in Native Language Identification. WASSA@EMNLP 2018: 123-129 - 2017
- [j5]Grigori Sidorov, Martín Ibarra Romero, Ilia Markov, Rafael Guzmán-Cabrera, Liliana Chanona-Hernández, Francisco Velasquez:
Measuring similarity between Karel programs using character and word n-grams. Program. Comput. Softw. 43(1): 47-50 (2017) - [c15]Ilia Markov, Lingzhen Chen, Carlo Strapparava, Grigori Sidorov:
CIC-FBK Approach to Native Language Identification. BEA@EMNLP 2017: 374-381 - [c14]Ilia Markov, Efstathios Stamatatos, Grigori Sidorov:
Improving Cross-Topic Authorship Attribution: The Role of Pre-Processing. CICLing (2) 2017: 289-302 - [c13]Ilia Markov, Helena Gómez-Adorno, Grigori Sidorov:
Language- and Subtask-Dependent Feature Selection and Classifier Parameter Tuning for Author Profiling. CLEF (Working Notes) 2017 - [c12]Miguel A. Sanchez-Perez, Ilia Markov, Helena Gómez-Adorno, Grigori Sidorov:
Comparison of Character n-grams and Lexical Features on Author, Gender, and Language Variety Identification on the Same Spanish News Corpus. CLEF 2017: 145-151 - [c11]Ilia Markov, Helena Gómez-Adorno, Grigori Sidorov, Alexander F. Gelbukh:
The Winning Approach to Cross-Genre Gender Identification in Russian at RUSProfiling 2017. FIRE (Working Notes) 2017: 20-24 - [c10]Helena Gómez-Adorno, Ilia Markov, Jorge Baptista, Grigori Sidorov, David Pinto:
Discriminating between Similar Languages Using a Combination of Typed and Untyped Character N-grams and Words. VarDial 2017: 137-145 - 2016
- [j4]Helena Gómez-Adorno, Ilia Markov, Grigori Sidorov, Juan Pablo Posadas-Durán, Miguel A. Sanchez-Perez, Liliana Chanona-Hernández:
Improving Feature Representation Based on a Neural Network for Author Profiling in Social Media Texts. Comput. Intell. Neurosci. 2016: 1638936:1-1638936:13 (2016) - [j3]Grigori Sidorov, Martín Ibarra Romero, Ilia Markov, Rafael Guzmán-Cabrera, Liliana Chanona-Hernández, Francisco Velasquez:
Automatic Detection of Similarity of Programs in Karel Programming Language based on Natural Language Processing Techniques. Computación y Sistemas 20(2) (2016) - [j2]Helena Gómez-Adorno, Ilia Markov, Grigori Sidorov, Juan Pablo Posadas-Durán, Carolina Fócil Arias:
Compilación de un lexicón de redes sociales para la identificación de perfiles de autor. Res. Comput. Sci. 115: 19-27 (2016) - [c9]Ilia Markov, Helena Gómez-Adorno, Grigori Sidorov, Alexander F. Gelbukh:
Adapting Cross-Genre Author Profiling to Language and Corpus. CLEF (Working Notes) 2016: 947-955 - [c8]Ilia Markov, Helena Gómez-Adorno, Juan Pablo Posadas-Durán, Grigori Sidorov, Alexander F. Gelbukh:
Author Profiling with Doc2vec Neural Network-Based Document Embeddings. MICAI (2) 2016: 117-131 - 2015
- [j1]Ilia Markov, Nuno J. Mamede, Jorge Baptista:
A Rule-Based Meronymy Extraction Module for Portuguese. Computación y Sistemas 19(4) (2015) - [c7]Helena Gómez-Adorno, Grigori Sidorov, David Pinto, Ilia Markov:
A Graph Based Authorship Identification Approach: Notebook for PAN at CLEF 2015. CLEF (Working Notes) 2015 - [c6]Juan Pablo Posadas-Durán, Helena Gómez-Adorno, Ilia Markov, Grigori Sidorov, Ildar Z. Batyrshin, Alexander F. Gelbukh, Obdulia Pichardo-Lagunas:
Syntactic N-grams as Features for the Author Profiling Task: Notebook for PAN at CLEF 2015. CLEF (Working Notes) 2015 - [c5]Grigori Sidorov, Helena Gómez-Adorno, Ilia Markov, David Pinto, Nahun Loya:
Computing text similarity using Tree Edit Distance. NAFIPS/WConSC 2015: 1-4 - 2014
- [c4]Ilia Markov, Nuno J. Mamede, Jorge Baptista:
Whole-Part Relations Rule-Based Automatic Identification: Issues from Fine-Grained Error Analysis. MICAI (1) 2014: 37-50 - [c3]Ilia Markov, Nuno J. Mamede, Jorge Baptista:
Body-Part Nouns and Whole-Part Relations in Portuguese. PROPOR 2014: 125-136 - [c2]Jorge Baptista, Nuno J. Mamede, Ilia Markov:
Integrating Verbal Idioms into an NLP System. PROPOR 2014: 250-255 - [c1]Ilia Markov, Nuno J. Mamede, Jorge Baptista:
Automatic Identification of Whole-Part Relations in Portuguese. SLATE 2014: 225-232
Coauthor Index
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last updated on 2024-11-15 19:33 CET by the dblp team
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