Marius Mosbach

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

Ikuti

Marius Mosbach

Mila - Quebec AI Institute, McGill University

Email yang diverifikasi di mila.quebec - Beranda

NLP Interpretability Machine learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
On the stability of fine-tuning BERT: Misconceptions, explanations, and strong baselines M Mosbach, M Andriushchenko, D Klakow ICLR 2021, 2021	440	2021
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders P BehnamGhader, V Adlakha, M Mosbach, D Bahdanau, N Chapados, ... COLM 2024, 2024	153	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	128	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	127	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	83	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	55	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	48	2022
MCSE: Multimodal Contrastive Learning of Sentence Embeddings M Zhang, M Mosbach, DI Adelani, MA Hedderich, D Klakow NAACL 2022, 2022	35	2022
Fusion Models for Improved Image Captioning M Kalimuthu, A Mogadala, M Mosbach, D Klakow Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021	22	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	21	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	12	2021
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	11	2023
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
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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