Eric Malmi

According to our database, Eric Malmi authored at least 36 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

West-of-N: Synthetic Preference Generation for Improved Reward Modeling.

Alizée Pace, Jonathan Mallinson, Eric Malmi, Sebastian Krause, Aliaksei Severyn

CoRR, 2024

Promotion of Scientific Publications on ArXiv and X Is on the Rise and Impacts Citations.

Chhandak Bagchi, Eric Malmi, Przemyslaw A. Grabowicz

CoRR, 2024

Small Language Models Improve Giants by Rewriting Their Outputs.

Giorgos Vernikos, Arthur Brazinskas, Jakub Adámek, Jonathan Mallinson, Aliaksei Severyn, Eric Malmi

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Fast Text Generation with Text-Editing Models.

Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adámek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Teaching Small Language Models to Reason.

Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adámek, Eric Malmi, Aliaksei Severyn

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Text Generation with Text-Editing Models.

Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adámek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn

CoRR, 2022

EdiT5: Semi-Autoregressive Text Editing with T5 Warm-Start.

Jonathan Mallinson, Jakub Adámek, Eric Malmi, Aliaksei Severyn

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Controlled Text Generation as Continuous Optimization with Multiple Constraints.

Sachin Kumar, Eric Malmi, Aliaksei Severyn, Yulia Tsvetkov

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Simple Recipe for Multilingual Grammatical Error Correction.

Sascha Rothe, Jonathan Mallinson, Eric Malmi, Sebastian Krause, Aliaksei Severyn

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Conditional Rap Lyrics Generation with Denoising Autoencoders.

Nikola I. Nikolov, Eric Malmi, Curtis G. Northcutt, Loreto Parisi

CoRR, 2020

Rapformer: Conditional Rap Lyrics Generation with Denoising Autoencoders.

Nikola I. Nikolov, Eric Malmi, Curtis G. Northcutt, Loreto Parisi

Proceedings of the 13th International Conference on Natural Language Generation, 2020

Unsupervised Text Style Transfer with Padded Masked Language Models.

Eric Malmi, Aliaksei Severyn, Sascha Rothe

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

FELIX: Flexible Text Editing Through Tagging and Insertion.

Jonathan Mallinson, Aliaksei Severyn, Eric Malmi, Guillermo Garrido

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Semantically Driven Sentence Fusion: Modeling and Evaluation.

Eyal Ben-David, Orgad Keller, Eric Malmi, Idan Szpektor, Roi Reichart

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Responsible team players wanted: an analysis of soft skill requirements in job advertisements.

Federica Calanca, Luiza Sayfullina, Lara Minkus, Claudia Wagner, Eric Malmi

EPJ Data Sci., 2019

DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion.

Mor Geva, Eric Malmi, Idan Szpektor, Jonathan Berant

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Encode, Tag, Realize: High-Precision Text Editing.

Eric Malmi, Sebastian Krause, Sascha Rothe, Daniil Mirylenka, Aliaksei Severyn

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Collective Entity Resolution Methods for Network Inference (Kollektiivisia tietueiden linkitysmenetelmiä verkostojen päättelyyn).

Eric Malmi

PhD thesis, 2018

Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating.

Eric Malmi, Aristides Gionis, Arno Solin

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Automatic Prediction of Discourse Connectives.

Eric Malmi, Daniele Pighin, Sebastian Krause, Mikhail Kozhevnikov

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Learning Representations for Soft Skill Matching.

Luiza Sayfullina, Eric Malmi, Juho Kannala

Proceedings of the Analysis of Images, Social Networks and Texts, 2018

2017

Lagrangian relaxations for multiple network alignment.

Eric Malmi, Sanjay Chawla, Aristides Gionis

Data Min. Knowl. Discov., 2017

AncestryAI: A Tool for Exploring Computationally Inferred Family Trees.

Eric Malmi, Marko Rasa, Aristides Gionis

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Redundancy Localization for the Conversationalization of Unstructured Responses.

Sebastian Krause, Mikhail Kozhevnikov, Eric Malmi, Daniele Pighin

Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, 2017

Active Network Alignment: A Matching-Based Approach.

Eric Malmi, Aristides Gionis, Evimaria Terzi

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Domain Adaptation for Resume Classification Using Convolutional Neural Networks.

Luiza Sayfullina, Eric Malmi, Yiping Liao, Alexander Jung

Proceedings of the Analysis of Images, Social Networks and Texts, 2017

2016

DopeLearning: A Computational Approach to Rap Lyrics Generation.

Eric Malmi, Pyry Takala, Hannu Toivonen, Tapani Raiko, Aristides Gionis

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

You Are What Apps You Use: Demographic Prediction Based on User's Apps.

Eric Malmi, Ingmar Weber

Proceedings of the Tenth International Conference on Web and Social Media, 2016

2015

Beyond rankings: comparing directed acyclic graphs.

Eric Malmi, Nikolaj Tatti, Aristides Gionis

Data Min. Knowl. Discov., 2015

The Blind Leading the Blind: Network-Based Location Estimation Under Uncertainty.

Eric Malmi, Arno Solin, Aristides Gionis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2014

Quality matters: usage-based app popularity prediction.

Eric Malmi

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

2013

From Foursquare to My Square: Learning Check-in Behavior from Multiple Sources.

Eric Malmi, Trinh Minh Tri Do, Daniel Gatica-Perez

Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

2012

Checking in or checked in: comparing large-scale manual and automatic location disclosure patterns.

Eric Malmi, Trinh Minh Tri Do, Daniel Gatica-Perez

Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia, 2012

Semi-supervised detection of collective anomalies with an application in high energy particle physics.

Tommi Vatanen, Mikael Kuusela, Eric Malmi, Tapani Raiko, Timo Aaltonen, Yoshikazu Nagai

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Identifying Anomalous Social Contexts from Mobile Proximity Data Using Binomial Mixture Models.

Eric Malmi, Juha Raitio, Oskar Kohonen, Krista Lagus, Timo Honkela

Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

2010

Text Mining and Qualitative Analysis of an IT History Interview Collection.

Petri Paju, Eric Malmi, Timo Honkela

Proceedings of the History of Nordic Computing 3 - Third IFIP WG 9.7 Conference, 2010