Marius Mosbach

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Dietrich KlakowSaarland University, Saarland Informatics Campus, PharmaScienceHubEmail confirmado em lsv.uni-saarland.de
Maksym AndriushchenkoPostdoctoral Researcher at EPFLEmail confirmado em epfl.ch
Jesujoba Oluwadara AlabiSaarland UniversityEmail confirmado em lsv.uni-saarland.de
David Ifeoluwa AdelaniMcGill University and Mila - Quebec AI Institute and Canada CIFAR AI ChairEmail confirmado em mila.quebec
Shauli RavfogelFaculty Fellow, NYUEmail confirmado em nyu.edu
Yanai ElazarPostdoctoral Researcher at AI2 & UWEmail confirmado em macs.biu.ac.il
Miaoran ZhangSaarland University, Saarland Informatics CampusEmail confirmado em lsv.uni-saarland.de
Vaibhav AdlakhaMcGill University/Mila - Quebec AI InstituteEmail confirmado em mila.quebec
Parishad BehnamGhaderStudent at McGill UniversityEmail confirmado em mail.mcgill.ca
Siva ReddyMcGill University, Mila Quebec AI InstituteEmail confirmado em cs.mcgill.ca
Tiago PimentelETH ZurichEmail confirmado em inf.ethz.ch
Vagrant GautamPhD Candidate, Saarland UniversityEmail confirmado em dippedrusk.com
Xiaoyu ShenEastern Institute of Technology, NingboEmail confirmado em eitech.edu.cn
Badr M. AbdullahSaarland University, Language Science and Technology (LST)Email confirmado em lsv.uni-saarland.de
Vilém ZouharPhD, ETH ZürichEmail confirmado em ethz.ch
Julius SteuerSaarland University, SFB 1102 Information Density and Linguistic EncodingEmail confirmado em lsv.uni-saarland.de
Dawei ZhuSaarland UniveristyEmail confirmado em lsv.uni-saarland.de
Mor GevaTel Aviv University, Google ResearchEmail confirmado em tauex.tau.ac.il

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Marius Mosbach

Mila - Quebec AI Institute, McGill University

Email confirmado em mila.quebec - Página inicial

NLP Interpretability Machine learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
On the stability of fine-tuning BERT: Misconceptions, explanations, and strong baselines M Mosbach, M Andriushchenko, D Klakow ICLR 2021, 2021	432	2021
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders P BehnamGhader, V Adlakha, M Mosbach, D Bahdanau, N Chapados, ... COLM 2024, 2024	119	2024
Few-shot fine-tuning vs. in-context learning: A fair comparison and evaluation M Mosbach, T Pimentel, S Ravfogel, D Klakow, Y Elazar ACL 2023 (Findings), 2023	115	2023
Adapting pre-trained language models to African languages via multilingual adaptive fine-tuning JO Alabi, DI Adelani, M Mosbach, D Klakow 🏆 Best Paper Award 🏆 COLING 2022, 2022	111	2022
Logit pairing methods can fool gradient-based attacks M Mosbach, M Andriushchenko, T Trost, M Hein, D Klakow NeurIPS 2018 - Workshop on Security in Machine Learning, 2018	85	2018
On the interplay between fine-tuning and sentence-level probing for linguistic knowledge in pre-trained transformers M Mosbach, A Khokhlova, MA Hedderich, D Klakow EMNLP 2020 (Findings), 2020	52	2020
Measuring Causal Effects of Data Statistics on Language Model's `Factual' Predictions Y Elazar, N Kassner, S Ravfogel, A Feder, A Ravichander, M Mosbach, ... arXiv preprint arXiv:2207.14251, 2022	50	2022
MCSE: Multimodal Contrastive Learning of Sentence Embeddings M Zhang, M Mosbach, DI Adelani, MA Hedderich, D Klakow NAACL 2022, 2022	34	2022
Fusion Models for Improved Image Captioning M Kalimuthu, A Mogadala, M Mosbach, D Klakow Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021	20	2021
Weaker Than You Think: A Critical Look at Weakly Supervised Learning D Zhu, X Shen, M Mosbach, A Stephan, D Klakow 🏆 Best Paper Award 🏆 ACL 2023, 2023	18	2023
Do Acoustic Word Embeddings Capture Phonological Similarity? An Empirical Study BM Abdullah, M Mosbach, I Zaitova, B Möbius, D Klakow Interspeech 2021, 2021	16	2021
On the Security Relevance of Initial Weights in Deep Neural Networks K Grosse, TA Trost, M Mosbach, M Backes, D Klakow Artificial Neural Networks and Machine Learning–ICANN 2020: 29th …, 2020	14*	2020
StereoKG: Data-Driven Knowledge Graph Construction for Cultural Knowledge and Stereotypes A Deshpande, D Ruiter, M Mosbach, D Klakow Proceedings of the Sixth Workshop on Online Abuse and Harms (WOAH), 2022	13	2022
Graph-based argument quality assessment E Saveleva, V Petukhova, M Mosbach, D Klakow Proceedings of the International Conference on Recent Advances in Natural …, 2021	11	2021
incom. py-A Toolbox for Calculating Linguistic Distances and Asymmetries between Related Languages M Mosbach, I Stenger, T Avgustinova, D Klakow Proceedings of the International Conference on Recent Advances in Natural …, 2019	10	2019
The impact of demonstrations on multilingual in-context learning: A multidimensional analysis M Zhang, V Gautam, M Wang, JO Alabi, X Shen, D Klakow, M Mosbach ACL 2024 (Findings), 2024	8	2024
Large GPT-like Models are Bad Babies: A Closer Look at the Relationship between Linguistic Competence and Psycholinguistic Measures J Steuer, M Mosbach, D Klakow 🏆 Best Paper Award 🏆 BabyLM workshop 2023, 2023	8	2023
Some steps towards the generation of diachronic WordNets Y Bizzoni, M Mosbach, D Klakow, S Degaetano-Ortlieb Proceedings of the 22nd Nordic conference on computational linguistics, 55-64, 2019	8	2019
Artefact retrieval: Overview of NLP models with knowledge base access V Zouhar, M Mosbach, D Biswas, D Klakow arXiv preprint arXiv:2201.09651, 2022	6	2022
A Closer Look at Linguistic Knowledge in Masked Language Models: The Case of Relative Clauses in American English M Mosbach, S Degaetano-Ortlieb, MP Krielke, BM Abdullah, D Klakow COLING 2020, 2020	6	2020

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