Mathias Creutz

Mathias Creutz

Helsingin yliopisto

H-index: 26

Europe-Finland

About Mathias Creutz

Mathias Creutz, With an exceptional h-index of 26 and a recent h-index of 12 (since 2020), a distinguished researcher at Helsingin yliopisto, specializes in the field of Natural language processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Correcting Challenging Finnish Learner Texts With Claude, GPT-3.5 and GPT-4 Large Language Models

Toward the Modular Training of Controlled Paraphrase Adapters

Semantic search as extractive paraphrase span detection

Evaluating morphological generalisation in machine translation by distribution-based compositionality assessment

On Using Distribution-Based Compositionality Assessment to Evaluate Compositional Generalisation in Machine Translation

Guiding Zero-Shot Paraphrase Generation with Fine-Grained Control Tokens

Gemv2: Multilingual nlg benchmarking in a single line of code

Modeling Noise in Paraphrase Detection

Mathias Creutz Information

University

Position

___

Citations(all)

3477

Citations(since 2020)

931

Cited By

2935

hIndex(all)

26

hIndex(since 2020)

12

i10Index(all)

35

i10Index(since 2020)

17

Email

University Profile Page

Helsingin yliopisto

Google Scholar

View Google Scholar Profile

Mathias Creutz Skills & Research Interests

Natural language processing

Top articles of Mathias Creutz

Title

Journal

Author(s)

Publication Date

Correcting Challenging Finnish Learner Texts With Claude, GPT-3.5 and GPT-4 Large Language Models

Mathias Creutz

2024/3

Toward the Modular Training of Controlled Paraphrase Adapters

Teemu Vahtola

Mathias Creutz

2024/3

Semantic search as extractive paraphrase span detection

Language Resources and Evaluation

Jenna Kanerva

Hanna Kitti

Li-Hsin Chang

Teemu Vahtola

Mathias Creutz

...

2024/2/1

Evaluating morphological generalisation in machine translation by distribution-based compositionality assessment

Anssi Moisio

Mathias Creutz

Mikko Kurimo

2023/3/20

On Using Distribution-Based Compositionality Assessment to Evaluate Compositional Generalisation in Machine Translation

arXiv preprint arXiv:2311.08249

Anssi Moisio

Mathias Creutz

Mikko Kurimo

2023/11/14

Guiding Zero-Shot Paraphrase Generation with Fine-Grained Control Tokens

Teemu Vahtola

Mathias Creutz

Jrg Tiedemann

2023/7

Gemv2: Multilingual nlg benchmarking in a single line of code

arXiv preprint arXiv:2206.11249

Sebastian Gehrmann

Abhik Bhattacharjee

Abinaya Mahendiran

Alex Wang

Alexandros Papangelis

...

2022/6/22

Modeling Noise in Paraphrase Detection

Teemu Vahtola

Eetu Sjöblom

Jörg Tiedemann

Mathias Creutz

2022/6

It is not easy to detect paraphrases: Analysing semantic similarity with antonyms and negation using the new SemAntoNeg benchmark

Teemu Vahtola

Mathias Creutz

Jörg Tiedemann

2022/12

A closer look at parameter contributions when training neural language and translation models

Raúl Vázquez

Hande Celikkanat

Vinit Ravishankar

Mathias Creutz

Jörg Tiedemann

2022/10

Helsinki-NLP at SemEval-2022 Task 2: A Feature-Based Approach to Multilingual Idiomaticity Detection

Sami Itkonen

Jörg Tiedemann

Mathias Creutz

2022/7/11

Morfessor-enriched features and multilingual training for canonical morphological segmentation

Aku Rouhe

Stig-Arne Grönroos

Sami Virpioja

Mathias Creutz

Mikko Kurimo

2022/7

Grammatical Error Generation Based on Translated Fragments

arXiv preprint arXiv:2104.09933

Eetu Sjöblom

Mathias Creutz

Teemu Vahtola

2021/4/20

Leveraging inter-lingual transfer learning for semantically meaningful Finnish sentence embeddings

Mikko Kristian Moisio

Mathias Creutz

2021/2/24

Coping with noisy training data labels in paraphrase detection

Teemu Vahtola

Mathias Creutz

Eetu Sjöblom

Sami Itkonen

2021/11

An empirical investigation of word alignment supervision for zero-shot multilingual neural machine translation

Alessandro Raganato

Raúl Vázquez

Mathias Creutz

Jörg Tiedemann

2021/11

On the differences between BERT and MT encoder spaces and how to address them in translation tasks

Raúl Vázquez

Hande Celikkanat

Mathias Creutz

Jörg Tiedemann

2021/8

A systematic study of inner-attention-based sentence representations in multilingual neural machine translation

Computational Linguistics

Raúl Vázquez

Alessandro Raganato

Mathias Creutz

Jörg Tiedemann

2020/6/1

Paraphrase Generation and Evaluation on Colloquial-Style Sentences

Eetu Sjöblom

Mathias Creutz

Yves Scherrer

2020/5

See List of Professors in Mathias Creutz University(Helsingin yliopisto)