Andreas Rücklé

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Iryna GurevychFull Professor, TU Darmstadt; Adjunct Professor, MBZUAI, UAE; Affiliated Professor, INSAIT, BulgariaVerified email at cs.tu-darmstadt.de
Jonas PfeifferResearch Scientist, Google DeepMindVerified email at google.com
Nils ReimersDirector of Machine Learning, cohere.aiVerified email at nils-reimers.de
Steffen EgerFull Professor, University of Technology NurembergVerified email at utn.de
Aishwarya KamathGoogle DeepMindVerified email at google.com
Kyunghyun ChoNew York University, GenentechVerified email at nyu.edu
Nandan ThakurPhD Student, University of WaterlooVerified email at uwaterloo.ca
Nafise Sadat MoosaviThe University of SheffieldVerified email at sheffield.ac.uk
Sebastian RuderResearch Scientist, CohereVerified email at cohere.com
Ivan VulićUniversity of CambridgeVerified email at cam.ac.uk
Maxime PeyrardUniversité Grenoble AlpesVerified email at univ-grenoble-alpes.fr
Krishnkant SwarnkarGraduate student, CICS, University of Massachusetts, AmherstVerified email at iitbhu.ac.in
Ji-Ung LeePostdoc, RTG Neuroexplicit Models, University of SaarlandVerified email at posteo.net
Max GlocknerDoctoral Researcher, UKP Lab, Technische Universität DarmstadtVerified email at ukp.informatik.tu-darmstadt.de
Claudia SchulzThomson ReutersVerified email at thomsonreuters.com
Mohsen MesgarResearch Scientist at Bosch Center for AIVerified email at bosch.com
Edwin SimpsonUniversity of BristolVerified email at bristol.ac.uk
Gözde Gül ŞahinAssistant Professor, Koç UniversityVerified email at ku.edu.tr
Yevgeniy PuzikovZalando SEVerified email at ukp.informatik.tu-darmstadt.de
Eugenio Martínez CámaraAssociate Professor, Universidad de JaénVerified email at ujaen.es

Andreas Rücklé

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Natural Language Processing Information Retrieval


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Beir: A heterogenous benchmark for zero-shot evaluation of information retrieval models N Thakur, N Reimers, A Rücklé, A Srivastava, I Gurevych arXiv preprint arXiv:2104.08663, 2021	844	2021
AdapterFusion: Non-Destructive Task Composition for Transfer Learning J Pfeiffer, A Kamath, A Rücklé, K Cho, I Gurevych EACL 2021, 2020	753	2020
AdapterHub: A Framework for Adapting Transformers J Pfeiffer, A Rücklé, C Poth, A Kamath, I Vulić, S Ruder, K Cho, I Gurevych EMNLP 2020, System Demonstrations, 2020	637	2020
Adapterdrop: On the efficiency of adapters in transformers A Rücklé, G Geigle, M Glockner, T Beck, J Pfeiffer, N Reimers, I Gurevych EMNLP 2021, 2020	238	2020
Text processing like humans do: Visually attacking and shielding nlp systems S Eger, GG Şahin, A Rücklé, JU Lee, C Schulz, M Mesgar, K Swarnkar, ... NAACL 2019, 1634-1647, 2019	175	2019
Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence Representations A Rücklé, S Eger, M Peyrard, I Gurevych arXiv preprint arXiv:1803.01400, 2018	131	2018
What to Pre-Train on? Efficient Intermediate Task Selection C Poth, J Pfeiffer, A Rücklé, I Gurevych EMNLP 2021, 2021	102	2021
Scigen: a dataset for reasoning-aware text generation from scientific tables NS Moosavi, A Rücklé, D Roth, I Gurevych Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021	36	2021
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale A Rücklé, J Pfeiffer, I Gurevych EMNLP 2020, 2020	35	2020
Improved Cross-Lingual Question Retrieval for Community Question Answering A Rücklé, K Swarnkar, I Gurevych WWW 2019, 3179-3186, 2019	34	2019
Representation learning for answer selection with lstm-based importance weighting A Rücklé, I Gurevych IWCS 2017, 2017	30	2017
End-to-end non-factoid question answering with an interactive visualization of neural attention weights A Rücklé, I Gurevych ACL 2017, System Demonstrations, 2017	23	2017
Pitfalls in the Evaluation of Sentence Embeddings S Eger, A Rücklé, I Gurevych Repl4NLP 2019, 2019	22*	2019
COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data A Rücklé, NS Moosavi, I Gurevych AAAI 2019, 6932-6939, 2019	20	2019
Improving QA generalization by concurrent modeling of multiple biases M Wu, NS Moosavi, A Rücklé, I Gurevych Findings of EMNLP 2020, 2020	19	2020
Learning to reason for text generation from scientific tables NS Moosavi, A Rücklé, D Roth, I Gurevych arXiv preprint arXiv:2104.08296, 2021	18	2021
Neural Duplicate Question Detection without Labeled Training Data A Rücklé, NS Moosavi, I Gurevych EMNLP 2019, 1607-1617, 2019	14	2019
LSDSem 2017: Exploring data generation methods for the story cloze test M Bugert, Y Puzikov, A Rücklé, J Eckle-Kohler, T Martin, ... LSDSem Workshop 2017, 56-61, 2017	14	2017
TWEAC: transformer with extendable QA agent classifiers G Geigle, N Reimers, A Rücklé, I Gurevych arXiv preprint arXiv:2104.07081, 2021	13	2021
Improving generalization by incorporating coverage in natural language inference NS Moosavi, PA Utama, A Rücklé, I Gurevych arXiv preprint arXiv:1909.08940, 2019	7	2019

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