Large-Scale Support Vector Learning with Structural Kernels. - Aliaksei Severyn; Alessandro Moschitti (ECML/PKDD (3), 2010)

Large-Scale Learning with Structural Kernels for Class-Imbalanced Datasets. - Aliaksei Severyn; Alessandro Moschitti (EternalS@FET, 2011)

Fast Support Vector Machines for Structural Kernels. - Aliaksei Severyn; Alessandro Moschitti (ECML/PKDD (3), 2011)

Structural relationships for large-scale learning of answer re-ranking. - Aliaksei Severyn; Alessandro Moschitti (SIGIR, 2012)

Fast support vector machines for convolution tree kernels. - Aliaksei Severyn; Alessandro Moschitti (Data Min. Knowl. Discov., 2012)

Learning Semantic Textual Similarity with Structural Representations. - Aliaksei Severyn; Massimo Nicosia; Alessandro Moschitti (ACL (2), 2013)

Building structures from classifiers for passage reranking. - Aliaksei Severyn; Massimo Nicosia; Alessandro Moschitti (CIKM, 2013)

Learning Adaptable Patterns for Passage Reranking. - Aliaksei Severyn; Massimo Nicosia; Alessandro Moschitti (CoNLL, 2013)

Automatic Feature Engineering for Answer Selection and Extraction. - Aliaksei Severyn; Alessandro Moschitti (EMNLP, 2013)

Fast Linearization of Tree Kernels over Large-Scale Data. - Aliaksei Severyn; Alessandro Moschitti (IJCAI, 2013)

iKernels-Core: Tree Kernel Learning for Textual Similarity. - Aliaksei Severyn; Massimo Nicosia; Alessandro Moschitti (*SEM@NAACL-HLT, 2013)

Opinion Mining on YouTube. - Aliaksei Severyn; Alessandro Moschitti; Olga Uryupina; Barbara Plank; Katja Filippova (ACL (1), 2014)

Encoding Semantic Resources in Syntactic Structures for Passage Reranking. - Kateryna Tymoshenko; Alessandro Moschitti; Aliaksei Severyn (EACL, 2014)

SenTube: A Corpus for Sentiment Analysis on YouTube Social Media. - Olga Uryupina; Barbara Plank; Aliaksei Severyn; Agata Rotondi; Alessandro Moschitti (LREC, 2014)

A syntax-aware re-ranker for microblog retrieval. - Aliaksei Severyn; Alessandro Moschitti; Manos Tsagkias; Richard Berendsen; Maarten de Rijke (SIGIR, 2014)

Distributional Neural Networks for Automatic Resolution of Crossword Puzzles. - Aliaksei Severyn; Massimo Nicosia; Gianni Barlacchi; Alessandro Moschitti (ACL (2), 2015)

On the Automatic Learning of Sentiment Lexicons. - Aliaksei Severyn; Alessandro Moschitti (HLT-NAACL, 2015)

UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment Classification. - Aliaksei Severyn; Alessandro Moschitti (SemEval@NAACL-HLT, 2015)

Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks. - Aliaksei Severyn; Alessandro Moschitti (SIGIR, 2015)

Twitter Sentiment Analysis with Deep Convolutional Neural Networks. - Aliaksei Severyn; Alessandro Moschitti (SIGIR, 2015)

Modelling input texts: from Tree Kernels to Deep Learning. - Aliaksei Severyn (2015)

Globally Normalized Transition-Based Neural Networks. - Daniel Andor; Chris Alberti; David Weiss 001; Aliaksei Severyn; Alessandro Presta; Kuzman Ganchev; Slav Petrov; Michael Collins 001 (ACL (1), 2016)

Recurrent Dropout without Memory Loss. - Stanislau Semeniuta; Aliaksei Severyn; Erhardt Barth (COLING, 2016)

Modeling Relational Information in Question-Answer Pairs with Convolutional Neural Networks. - Aliaksei Severyn; Alessandro Moschitti (CoRR, 2016)

Multi-lingual opinion mining on YouTube. - Aliaksei Severyn; Alessandro Moschitti; Olga Uryupina; Barbara Plank; Katja Filippova (Inf. Process. Manag., 2016)

RelTextRank: An Open Source Framework for Building Relational Syntactic-Semantic Text Pair Representations. - Kateryna Tymoshenko; Alessandro Moschitti; Massimo Nicosia; Aliaksei Severyn (ACL (System Demonstrations), 2017)

A Hybrid Convolutional Variational Autoencoder for Text Generation. - Stanislau Semeniuta; Aliaksei Severyn; Erhardt Barth (EMNLP, 2017)

Neural Ranking Models with Weak Supervision. - Mostafa Dehghani 001; Hamed Zamani; Aliaksei Severyn; Jaap Kamps; W. Bruce Croft (SIGIR, 2017)

Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification. - Jan Deriu; Aurélien Lucchi; Valeria De Luca; Aliaksei Severyn; Simon Müller; Mark Cieliebak; Thomas Hofmann 001; Martin Jaggi (WWW, 2017)

Avoiding Your Teacher's Mistakes: Training Neural Networks with Controlled Weak Supervision. - Mostafa Dehghani 001; Aliaksei Severyn; Sascha Rothe; Jaap Kamps (CoRR, 2017)

Learning to Learn from Weak Supervision by Full Supervision. - Mostafa Dehghani 001; Aliaksei Severyn; Sascha Rothe; Jaap Kamps (CoRR, 2017)

Eval all, trust a few, do wrong to none: Comparing sentence generation models. - Ondrej Cífka; Aliaksei Severyn; Enrique Alfonseca; Katja Filippova (CoRR, 2018)

Prosody Modifications for Question-Answering in Voice-Only Settings. - Aleksandr Chuklin; Aliaksei Severyn; Johanne R. Trippas; Enrique Alfonseca; Hanna Silén; Damiano Spina (CoRR, 2018)

On Accurate Evaluation of GANs for Language Generation. - Stanislau Semeniuta; Aliaksei Severyn; Sylvain Gelly (CoRR, 2018)

Adversarial Neural Networks for Cross-lingual Sequence Tagging. - Heike Adel; Anton Bryl; David Weiss 001; Aliaksei Severyn (CoRR, 2018)

Using Audio Transformations to Improve Comprehension in Voice Question Answering. - Aleksandr Chuklin; Aliaksei Severyn; Johanne R. Trippas; Enrique Alfonseca; Hanna Silén; Damiano Spina (CLEF, 2019)

Encode, Tag, Realize: High-Precision Text Editing. - Eric Malmi; Sebastian Krause; Sascha Rothe; Daniil Mirylenka; Aliaksei Severyn (EMNLP/IJCNLP (1), 2019)

Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities. - Octavian Ganea; Sylvain Gelly; Gary Bécigneul; Aliaksei Severyn (ICML, 2019)

FELIX: Flexible Text Editing Through Tagging and Insertion. - Jonathan Mallinson; Aliaksei Severyn; Eric Malmi; Guillermo Garrido (EMNLP (Findings), 2020)

Unsupervised Text Style Transfer with Padded Masked Language Models. - Eric Malmi; Aliaksei Severyn; Sascha Rothe (EMNLP (1), 2020)

Leveraging Pre-trained Checkpoints for Sequence Generation Tasks. - Sascha Rothe; Shashi Narayan; Aliaksei Severyn (Trans. Assoc. Comput. Linguistics, 2020)

A Simple Recipe for Multilingual Grammatical Error Correction. - Sascha Rothe; Jonathan Mallinson; Eric Malmi; Sebastian Krause; Aliaksei Severyn (ACL/IJCNLP (2), 2021)

Controlled Text Generation as Continuous Optimization with Multiple Constraints. - Sachin Kumar 009; Eric Malmi; Aliaksei Severyn; Yulia Tsvetkov (NeurIPS, 2021)

EdiT5: Semi-Autoregressive Text Editing with T5 Warm-Start. - Jonathan Mallinson; Jakub Adámek; Eric Malmi; Aliaksei Severyn (EMNLP (Findings), 2022)

Text Generation with Text-Editing Models. - Eric Malmi; Yue Dong 002; Jonathan Mallinson; Aleksandr Chuklin; Jakub Adámek; Daniil Mirylenka; Felix Stahlberg; Sebastian Krause; Shankar Kumar; Aliaksei Severyn (CoRR, 2022)

Teaching Small Language Models to Reason. - Lucie Charlotte Magister; Jonathan Mallinson; Jakub Adámek; Eric Malmi; Aliaksei Severyn (ACL (2), 2023)

Fast Text Generation with Text-Editing Models. - Eric Malmi; Yue Dong 002; Jonathan Mallinson; Aleksandr Chuklin; Jakub Adámek; Daniil Mirylenka; Felix Stahlberg; Sebastian Krause; Shankar Kumar; Aliaksei Severyn (KDD, 2023)

Small Language Models Improve Giants by Rewriting Their Outputs. - Giorgos Vernikos; Arthur Brazinskas; Jakub Adámek; Jonathan Mallinson; Aliaksei Severyn; Eric Malmi (EACL (1), 2024)

West-of-N: Synthetic Preference Generation for Improved Reward Modeling. - Alizée Pace; Jonathan Mallinson; Eric Malmi; Sebastian Krause; Aliaksei Severyn (CoRR, 2024)

Offline Regularised Reinforcement Learning for Large Language Models Alignment. - Pierre Harvey Richemond; Yunhao Tang; Daniel Guo 001; Daniele Calandriello; Mohammad Gheshlaghi Azar; Rafael Rafailov; Bernardo Ávila Pires; Eugene Tarassov; Lucas Spangher; Will Ellsworth; Aliaksei Severyn; Jonathan Mallinson; et al. (CoRR, 2024)

BOND: Aligning LLMs with Best-of-N Distillation. - 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; et al. (CoRR, 2024)

Gemma 2: Improving Open Language Models at a Practical Size. - 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; et al. (CoRR, 2024)

BOND: Aligning LLMs with Best-of-N Distillation. - Pier Giuseppe Sessa; Robert Dadashi-Tazehozi; Léonard Hussenot; Johan Ferret; Nino Vieillard; Alexandre Ramé; Bobak Shahriari; Sarah Perrin; Abram L. Friesen; Geoffrey Cideron; Sertan Girgin; Piotr Stanczyk; et al. (ICLR, 2025)