Jonas Pfeiffer

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Iryna GurevychFull Professor, TU Darmstadt; Adjunct Professor, MBZUAI, Abu DhabiVerified email at cs.tu-darmstadt.de
Ivan VulićPrincipal Research Associate, University of Cambridge & PolyAIVerified email at cam.ac.uk
Sebastian RuderResearch Scientist, GoogleVerified email at google.com
Aishwarya KamathNew York UniversityVerified email at nyu.edu
Andreas RückléAmazonVerified email at amazon.com
Clifton PothMaster's Student, Computer Science, Technische Universität DarmstadtVerified email at stud.tu-darmstadt.de
Gregor GeiglePhD student at University WürzburgVerified email at uni-wuerzburg.de
Kyunghyun ChoNew York University, GenentechVerified email at nyu.edu
Edoardo M. PontiUniversity of Edinburgh / University of CambridgeVerified email at ed.ac.uk
Nils ReimersDirector of Machine Learning, cohere.aiVerified email at nils-reimers.de
Phillip RustPhD Student - University of CopenhagenVerified email at di.ku.dk
Goran GlavašProfessor of Computer Science (Chair for Natural Language Processing), University of WürzburgVerified email at uni-wuerzburg.de
Max GlocknerDoctoral Researcher, UKP Lab, Technische Universität DarmstadtVerified email at ukp.informatik.tu-darmstadt.de
Anna KorhonenProfessor, Computer Science and Linguistics, University of CambridgeVerified email at cam.ac.uk
Edwin SimpsonUniversity of BristolVerified email at bristol.ac.uk
Fangyu LiuResearch Scientist, Google DeepMindVerified email at google.com
Emanuele BugliarelloPhD Fellow, University of CopenhagenVerified email at di.ku.dk
Stefan RothProfessor of Computer Science, TU DarmstadtVerified email at cs.tu-darmstadt.de
Jan-Martin O. SteitzPhD Student, Visual Inference Lab, TU DarmstadtVerified email at visinf.tu-darmstadt.de
Alan AnsellPhD student, University of CambridgeVerified email at cam.ac.uk

Jonas Pfeiffer

Research Scientist, Google DeepMind

Verified email at google.com - Homepage

Natural Language Processing Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
AdapterHub: A Framework for Adapting Transformers J Pfeiffer, A Rücklé, C Poth*, A Kamath, I Vulić, S Ruder, K Cho, ... EMNLP 2020, 2020	356	2020
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer J Pfeiffer, I Vulić, I Gurevych, S Ruder EMNLP 2020, 2020	348	2020
AdapterFusion: Non-Destructive Task Composition for Transfer Learning J Pfeiffer, A Kamath, A Rücklé, K Cho, I Gurevych EACL 2021, 2021	340	2021
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models P Rust, J Pfeiffer, I Vulić, S Ruder, I Gurevych ACL 2021, 2021	122	2021
AdapterDrop: On the Efficiency of Adapters in Transformers A Rücklé, G Geigle, M Glockner, T Beck, J Pfeiffer, N Reimers, I Gurevych EMNLP 2021, 2021	116	2021
What to Pre-Train on? Efficient Intermediate Task Selection C Poth, J Pfeiffer, A Rücklé, I Gurevych EMNLP 2021, 2021	64	2021
UNKs Everywhere: Adapting Multilingual Language Models to New Scripts J Pfeiffer, I Vulić, I Gurevych, S Ruder EMNLP 2021, 2021	64	2021
Lifting the Curse of Multilinguality by Pre-training Modular Transformers J Pfeiffer, N Goyal, XV Lin, X Li, J Cross, S Riedel, M Artetxe NAACL 2022, 2022	48*	2022
Retrieve Fast, Rerank Smart: Cooperative and Joint Approaches for Improved Cross-Modal Retrieval G Geigle, J Pfeiffer, N Reimers, I Vulić, I Gurevych TACL 2022, 2022	44	2022
MAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual Transfer A Ansell, EM Ponti, J Pfeiffer, S Ruder, G Glavaš, I Vulić, A Korhonen Findings of EMNLP 2021, 2021	42	2021
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale A Rücklé, J Pfeiffer, I Gurevych EMNLP 2020, 2020	29	2020
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages E Bugliarello, F Liu, J Pfeiffer, S Reddy, D Elliott, EM Ponti, I Vulić ICML 2022, 2022	28	2022
xGQA: Cross-Lingual Visual Question Answering J Pfeiffer, G Geigle, A Kamath, JMO Steitz, S Roth, I Vulić, I Gurevych Findings of ACL 2022, 2022	24	2022
Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels T Alhindi, J Pfeiffer, S Muresan EMNLP (NLP4IF) 2019, 2019	22	2019
Specializing distributional vectors of all words for lexical entailment A Kamath, J Pfeiffer, E Ponti, G Glavaš, I Vulić ACL (RepL4NLP) 2019, 2019	20	2019
Modular Deep Learning J Pfeiffer, S Ruder, I Vulić, EM Ponti arXiv preprint, 2023	13	2023
Low Resource Sequence Tagging with Weak Labels E Simpson, J Pfeiffer, I Gurevych AAAI 2020, 2020	13	2020
A neural autoencoder approach for document ranking and query refinement in pharmacogenomic information retrieval J Pfeiffer, S Broscheit, R Gemulla, M Göschl ACL (BioNLP) 2018, 2018	13	2018
Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation LFR Ribeiro, J Pfeiffer, Y Zhang, I Gurevych EMNLP 2021, 2021	8	2021
Using ENA to analyze pre-service teachers’ diagnostic argumentations: a conceptual framework and initial applications E Bauer, M Sailer, J Kiesewetter, C Schulz, J Pfeiffer, I Gurevych, ... ICQE 2019, 2019	8	2019

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