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2020 – today
- 2024
[c36]Giorgos Vernikos, Arthur Brazinskas, Jakub Adámek, Jonathan Mallinson, Aliaksei Severyn, Eric Malmi:
Small Language Models Improve Giants by Rewriting Their Outputs. EACL (1) 2024: 2703-2718- [i27]Alizée Pace, Jonathan Mallinson, Eric Malmi, Sebastian Krause, Aliaksei Severyn:
West-of-N: Synthetic Preference Generation for Improved Reward Modeling. CoRR abs/2401.12086 (2024) - [i26]Pierre Harvey Richemond, Yunhao Tang, Daniel Guo, Daniele Calandriello, Mohammad Gheshlaghi Azar, Rafael Rafailov, Bernardo Ávila Pires, Eugene Tarassov, Lucas Spangher, Will Ellsworth, Aliaksei Severyn, Jonathan Mallinson, Lior Shani, Gil Shamir, Rishabh Joshi, Tianqi Liu, Rémi Munos, Bilal Piot:
Offline Regularised Reinforcement Learning for Large Language Models Alignment. CoRR abs/2405.19107 (2024) - [i25]Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot, Johan Ferret, Nino Vieillard, Alexandre Ramé, Bobak Shahriari, Sarah Perrin, Abe Friesen, Geoffrey Cideron, Sertan Girgin, Piotr Stanczyk, Andrea Michi, Danila Sinopalnikov, Sabela Ramos, Amélie Héliou, Aliaksei Severyn, Matt Hoffman, Nikola Momchev, Olivier Bachem:
BOND: Aligning LLMs with Best-of-N Distillation. CoRR abs/2407.14622 (2024) - [i24]Morgane Rivière, Shreya Pathak, Pier Giuseppe Sessa, Cassidy Hardin, Surya Bhupatiraju, Léonard Hussenot, Thomas Mesnard, Bobak Shahriari, Alexandre Ramé, Johan Ferret, Peter Liu, Pouya Tafti, Abe Friesen, Michelle Casbon, Sabela Ramos, Ravin Kumar, Charline Le Lan, Sammy Jerome, Anton Tsitsulin, Nino Vieillard, Piotr Stanczyk, Sertan Girgin, Nikola Momchev, Matt Hoffman, Shantanu Thakoor, Jean-Bastien Grill, Behnam Neyshabur, Olivier Bachem, Alanna Walton, Aliaksei Severyn, Alicia Parrish, Aliya Ahmad, Allen Hutchison, Alvin Abdagic, Amanda Carl, Amy Shen, Andy Brock, Andy Coenen, Anthony Laforge, Antonia Paterson, Ben Bastian, Bilal Piot, Bo Wu, Brandon Royal, Charlie Chen, Chintu Kumar, Chris Perry, Chris Welty, Christopher A. Choquette-Choo, Danila Sinopalnikov, David Weinberger, Dimple Vijaykumar, Dominika Rogozinska, Dustin Herbison, Elisa Bandy, Emma Wang, Eric Noland, Erica Moreira, Evan Senter, Evgenii Eltyshev, Francesco Visin, Gabriel Rasskin, Gary Wei, Glenn Cameron, Gus Martins, Hadi Hashemi, Hanna Klimczak-Plucinska, Harleen Batra, Harsh Dhand, Ivan Nardini, Jacinda Mein, Jack Zhou, James Svensson, Jeff Stanway, Jetha Chan, Jin Peng Zhou, Joana Carrasqueira, Joana Iljazi, Jocelyn Becker, Joe Fernandez, Joost van Amersfoort, Josh Gordon, Josh Lipschultz, Josh Newlan, Ju-yeong Ji, Kareem Mohamed, Kartikeya Badola, Kat Black, Katie Millican, Keelin McDonell, Kelvin Nguyen, Kiranbir Sodhia, Kish Greene, Lars Lowe Sjösund, Lauren Usui, Laurent Sifre, Lena Heuermann, Leticia Lago, Lilly McNealus:
Gemma 2: Improving Open Language Models at a Practical Size. CoRR abs/2408.00118 (2024) - 2023
- [c35]Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adámek, Eric Malmi, Aliaksei Severyn:
Teaching Small Language Models to Reason. ACL (2) 2023: 1773-1781 - [c34]Eric Malmi
, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adámek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn:
Fast Text Generation with Text-Editing Models. KDD 2023: 5815-5816 - [i23]Giorgos Vernikos, Arthur Brazinskas, Jakub Adámek, Jonathan Mallinson, Aliaksei Severyn, Eric Malmi:
Small Language Models Improve Giants by Rewriting Their Outputs. CoRR abs/2305.13514 (2023) - 2022
- [c33]Jonathan Mallinson, Jakub Adámek, Eric Malmi, Aliaksei Severyn:
EdiT5: Semi-Autoregressive Text Editing with T5 Warm-Start. EMNLP (Findings) 2022: 2126-2138 - [i22]Jonathan Mallinson, Jakub Adámek, Eric Malmi, Aliaksei Severyn:
EdiT5: Semi-Autoregressive Text-Editing with T5 Warm-Start. CoRR abs/2205.12209 (2022) - [i21]Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adámek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn:
Text Generation with Text-Editing Models. CoRR abs/2206.07043 (2022) - [i20]Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adámek, Eric Malmi, Aliaksei Severyn:
Teaching Small Language Models to Reason. CoRR abs/2212.08410 (2022) - 2021
- [c32]Sascha Rothe, Jonathan Mallinson, Eric Malmi, Sebastian Krause, Aliaksei Severyn:
A Simple Recipe for Multilingual Grammatical Error Correction. ACL/IJCNLP (2) 2021: 702-707 - [c31]Sachin Kumar, Eric Malmi, Aliaksei Severyn, Yulia Tsvetkov:
Controlled Text Generation as Continuous Optimization with Multiple Constraints. NeurIPS 2021: 14542-14554 - [i19]Sascha Rothe, Jonathan Mallinson, Eric Malmi, Sebastian Krause, Aliaksei Severyn:
A Simple Recipe for Multilingual Grammatical Error Correction. CoRR abs/2106.03830 (2021) - [i18]Sachin Kumar, Eric Malmi, Aliaksei Severyn, Yulia Tsvetkov:
Controlled Text Generation as Continuous Optimization with Multiple Constraints. CoRR abs/2108.01850 (2021) - 2020
- [j3]Sascha Rothe, Shashi Narayan, Aliaksei Severyn:
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks. Trans. Assoc. Comput. Linguistics 8: 264-280 (2020) - [c30]Jonathan Mallinson, Aliaksei Severyn, Eric Malmi, Guillermo Garrido:
FELIX: Flexible Text Editing Through Tagging and Insertion. EMNLP (Findings) 2020: 1244-1255 - [c29]Eric Malmi, Aliaksei Severyn, Sascha Rothe:
Unsupervised Text Style Transfer with Padded Masked Language Models. EMNLP (1) 2020: 8671-8680 - [i17]Jonathan Mallinson, Aliaksei Severyn, Eric Malmi, Guillermo Garrido:
Felix: Flexible Text Editing Through Tagging and Insertion. CoRR abs/2003.10687 (2020) - [i16]Eric Malmi, Aliaksei Severyn, Sascha Rothe:
Unsupervised Text Style Transfer with Padded Masked Language Models. CoRR abs/2010.01054 (2020)
2010 – 2019
- 2019
- [c28]Aleksandr Chuklin, Aliaksei Severyn, Johanne R. Trippas, Enrique Alfonseca, Hanna Silén, Damiano Spina:
Using Audio Transformations to Improve Comprehension in Voice Question Answering. CLEF 2019: 164-170 - [c27]Eric Malmi, Sebastian Krause, Sascha Rothe, Daniil Mirylenka, Aliaksei Severyn:
Encode, Tag, Realize: High-Precision Text Editing. EMNLP/IJCNLP (1) 2019: 5053-5064 - [c26]Octavian Ganea, Sylvain Gelly, Gary Bécigneul, Aliaksei Severyn:
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities. ICML 2019: 2073-2082 - [i15]Octavian-Eugen Ganea, Sylvain Gelly, Gary Bécigneul, Aliaksei Severyn:
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities. CoRR abs/1902.08077 (2019) - [i14]Sascha Rothe, Shashi Narayan, Aliaksei Severyn:
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks. CoRR abs/1907.12461 (2019) - [i13]Eric Malmi, Sebastian Krause, Sascha Rothe, Daniil Mirylenka, Aliaksei Severyn:
Encode, Tag, Realize: High-Precision Text Editing. CoRR abs/1909.01187 (2019) - 2018
- [i12]Ondrej Cífka, Aliaksei Severyn, Enrique Alfonseca, Katja Filippova:
Eval all, trust a few, do wrong to none: Comparing sentence generation models. CoRR abs/1804.07972 (2018) - [i11]Aleksandr Chuklin, Aliaksei Severyn, Johanne R. Trippas, Enrique Alfonseca, Hanna Silén, Damiano Spina:
Prosody Modifications for Question-Answering in Voice-Only Settings. CoRR abs/1806.03957 (2018) - [i10]Stanislau Semeniuta, Aliaksei Severyn, Sylvain Gelly:
On Accurate Evaluation of GANs for Language Generation. CoRR abs/1806.04936 (2018) - [i9]Heike Adel, Anton Bryl, David Weiss, Aliaksei Severyn:
Adversarial Neural Networks for Cross-lingual Sequence Tagging. CoRR abs/1808.04736 (2018) - 2017
- [c25]Kateryna Tymoshenko, Alessandro Moschitti, Massimo Nicosia, Aliaksei Severyn:
RelTextRank: An Open Source Framework for Building Relational Syntactic-Semantic Text Pair Representations. ACL (System Demonstrations) 2017: 79-84 - [c24]Stanislau Semeniuta, Aliaksei Severyn, Erhardt Barth:
A Hybrid Convolutional Variational Autoencoder for Text Generation. EMNLP 2017: 627-637 - [c23]Mostafa Dehghani, Hamed Zamani, Aliaksei Severyn, Jaap Kamps, W. Bruce Croft:
Neural Ranking Models with Weak Supervision. SIGIR 2017: 65-74 - [c22]Jan Deriu, Aurélien Lucchi, Valeria De Luca, Aliaksei Severyn, Simon Müller, Mark Cieliebak, Thomas Hofmann, Martin Jaggi:
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification. WWW 2017: 1045-1052 - [i8]Stanislau Semeniuta, Aliaksei Severyn, Erhardt Barth:
A Hybrid Convolutional Variational Autoencoder for Text Generation. CoRR abs/1702.02390 (2017) - [i7]Jan Deriu, Aurélien Lucchi, Valeria De Luca, Aliaksei Severyn, Simon Müller, Mark Cieliebak, Thomas Hofmann, Martin Jaggi:
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification. CoRR abs/1703.02504 (2017) - [i6]Mostafa Dehghani, Hamed Zamani, Aliaksei Severyn, Jaap Kamps, W. Bruce Croft:
Neural Ranking Models with Weak Supervision. CoRR abs/1704.08803 (2017) - [i5]Mostafa Dehghani, Aliaksei Severyn, Sascha Rothe, Jaap Kamps:
Avoiding Your Teacher's Mistakes: Training Neural Networks with Controlled Weak Supervision. CoRR abs/1711.00313 (2017) - [i4]Mostafa Dehghani, Aliaksei Severyn, Sascha Rothe, Jaap Kamps:
Learning to Learn from Weak Supervision by Full Supervision. CoRR abs/1711.11383 (2017) - 2016
- [j2]Aliaksei Severyn, Alessandro Moschitti, Olga Uryupina, Barbara Plank, Katja Filippova:
Multi-lingual opinion mining on YouTube. Inf. Process. Manag. 52(1): 46-60 (2016) - [c21]Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins:
Globally Normalized Transition-Based Neural Networks. ACL (1) 2016 - [c20]Stanislau Semeniuta, Aliaksei Severyn, Erhardt Barth:
Recurrent Dropout without Memory Loss. COLING 2016: 1757-1766 - [i3]Stanislau Semeniuta, Aliaksei Severyn, Erhardt Barth:
Recurrent Dropout without Memory Loss. CoRR abs/1603.05118 (2016) - [i2]Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins:
Globally Normalized Transition-Based Neural Networks. CoRR abs/1603.06042 (2016) - [i1]Aliaksei Severyn, Alessandro Moschitti:
Modeling Relational Information in Question-Answer Pairs with Convolutional Neural Networks. CoRR abs/1604.01178 (2016) - 2015
- [b1]Aliaksei Severyn:
Modelling input texts: from Tree Kernels to Deep Learning. University of Trento, Italy, 2015 - [c19]Aliaksei Severyn, Massimo Nicosia, Gianni Barlacchi, Alessandro Moschitti:
Distributional Neural Networks for Automatic Resolution of Crossword Puzzles. ACL (2) 2015: 199-204 - [c18]Aliaksei Severyn, Alessandro Moschitti:
On the Automatic Learning of Sentiment Lexicons. HLT-NAACL 2015: 1397-1402 - [c17]Aliaksei Severyn, Alessandro Moschitti:
UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment Classification. SemEval@NAACL-HLT 2015: 464-469 - [c16]Aliaksei Severyn, Alessandro Moschitti:
Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks. SIGIR 2015: 373-382 - [c15]Aliaksei Severyn, Alessandro Moschitti:
Twitter Sentiment Analysis with Deep Convolutional Neural Networks. SIGIR 2015: 959-962 - 2014
- [c14]Aliaksei Severyn, Alessandro Moschitti, Olga Uryupina, Barbara Plank, Katja Filippova:
Opinion Mining on YouTube. ACL (1) 2014: 1252-1261 - [c13]Kateryna Tymoshenko, Alessandro Moschitti, Aliaksei Severyn:
Encoding Semantic Resources in Syntactic Structures for Passage Reranking. EACL 2014: 664-672 - [c12]Olga Uryupina, Barbara Plank, Aliaksei Severyn, Agata Rotondi, Alessandro Moschitti:
SenTube: A Corpus for Sentiment Analysis on YouTube Social Media. LREC 2014: 4244-4249 - [c11]Aliaksei Severyn, Alessandro Moschitti, Manos Tsagkias, Richard Berendsen, Maarten de Rijke:
A syntax-aware re-ranker for microblog retrieval. SIGIR 2014: 1067-1070 - 2013
- [c10]Aliaksei Severyn, Massimo Nicosia, Alessandro Moschitti:
Learning Semantic Textual Similarity with Structural Representations. ACL (2) 2013: 714-718 - [c9]Aliaksei Severyn, Massimo Nicosia, Alessandro Moschitti:
Building structures from classifiers for passage reranking. CIKM 2013: 969-978 - [c8]Aliaksei Severyn, Massimo Nicosia, Alessandro Moschitti:
Learning Adaptable Patterns for Passage Reranking. CoNLL 2013: 75-83 - [c7]Aliaksei Severyn, Alessandro Moschitti:
Automatic Feature Engineering for Answer Selection and Extraction. EMNLP 2013: 458-467 - [c6]Aliaksei Severyn, Alessandro Moschitti:
Fast Linearization of Tree Kernels over Large-Scale Data. IJCAI 2013: 2162-2168 - [c5]Aliaksei Severyn, Massimo Nicosia, Alessandro Moschitti:
iKernels-Core: Tree Kernel Learning for Textual Similarity. *SEM@NAACL-HLT 2013: 53-58 - 2012
- [j1]Aliaksei Severyn, Alessandro Moschitti:
Fast support vector machines for convolution tree kernels. Data Min. Knowl. Discov. 25(2): 325-357 (2012) - [c4]Aliaksei Severyn, Alessandro Moschitti:
Structural relationships for large-scale learning of answer re-ranking. SIGIR 2012: 741-750 - 2011
- [c3]Aliaksei Severyn, Alessandro Moschitti:
Large-Scale Learning with Structural Kernels for Class-Imbalanced Datasets. EternalS@FET 2011: 34-41 - [c2]Aliaksei Severyn, Alessandro Moschitti:
Fast Support Vector Machines for Structural Kernels. ECML/PKDD (3) 2011: 175-190 - 2010
- [c1]Aliaksei Severyn, Alessandro Moschitti:
Large-Scale Support Vector Learning with Structural Kernels. ECML/PKDD (3) 2010: 229-244
Coauthor Index
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last updated on 2024-10-01 20:42 CEST by the dblp team
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