Who cites Clifton Poth
- AdapterFusion: Non-Destructive Task Composition for Transfer LearningarXiv:2005.00247 · Proceedings of EACL 2021Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, et al.2020 · 950 citationsMAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual TransferConference on Empirical Methods in Natural Language Processing (EMNLP)Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al.2020 · 833 citationsHow Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Phillip Rust, Jonas Pfeiffer, Ivan Vulić, et al.2021 · 444 citationsTIES-Merging: Resolving Interference When Merging ModelsConference on Neural Information Processing Systems (NeurIPS)Prateek Yadav, Derek Tam, Leshem Choshen, et al.2023 · 308 citationsSPoT: Better Frozen Model Adaptation through Soft Prompt TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Tu Vu, Brian Lester, Noah Constant, et al.2022 · 302 citations
- Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citationsAdapterDrop: On the Efficiency of Adapters in TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Andreas Rücklé, Gregor Geigle, Max Glockner, et al.2021 · 295 citationsParameter-efficient Multi-task Fine-tuning for Transformers via Shared HypernetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Rabeeh Karimi Mahabadi, Sebastian Ruder, Mostafa Dehghani, et al.2021 · 250 citationsOn the Effectiveness of Adapter-based Tuning for Pretrained Language Model AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Ruidan He, Linlin Liu, Hai Ye, et al.2021 · 204 citationsUNKs Everywhere: Adapting Multilingual Language Models to New ScriptsConference on Empirical Methods in Natural Language Processing (EMNLP)Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al.2021 · 175 citationsLifting the Curse of Multilinguality by Pre-training Modular TransformersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, et al.2022 · 172 citations
- Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language ProcessingMinh Van Nguyen, Viet Dac Lai, Amir Pouran Ben Veyseh, et al.2021 · 169 citationsSustainable Modular Debiasing of Language ModelsFindings of the Association for Computational LinguisticsAnne Lauscher, Tobias Lueken, Goran Glavaš2021 · 165 citationsUniPELT: A Unified Framework for Parameter-Efficient Language Model TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Yuning Mao, Lambert Mathias, Rui Hou, et al.2022 · 162 citationsEfficient Methods for Natural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Marcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.2023 · 145 citationsAdaMix: Mixture-of-Adaptations for Parameter-efficient Model TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Yaqing Wang, Sahaj Agarwal, Subhabrata Mukherjee, et al.2022 · 132 citationsWhat to Pre-Train on? Efficient Intermediate Task SelectionConference on Empirical Methods in Natural Language Processing (EMNLP)Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, et al.2021 · 132 citationsA Survey on Recent Advances in LLM-Based Multi-turn Dialogue SystemsACM Computing SurveysZihao Yi, Jiarui Ouyang, Zhe Xu, et al.2024 · 129 citationsMAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual TransferFindings of the Association for Computational LinguisticsAlan Ansell, Edoardo Maria Ponti, Jonas Pfeiffer, et al.2021 · 129 citations
- Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-TuningarXiv:2303.15647Vladislav Lialin, Vijeta Deshpande, Xiaowei Yao, et al.2023 · 128 citationsMonolingual Adapters for Zero-Shot Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Jerin Philip, Alexandre Berard, Matthias Gallé, et al.2020 · 114 citationsRL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model OutputsAnnual Meeting of the Association for Computational Linguistics (ACL)Afra Feyza Akyurek, Ekin Akyurek, Ashwin Kalyan, et al.2023 · 87 citationsHow to Adapt Your Pretrained Multilingual Model to 1600 LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Abteen Ebrahimi, Katharina Kann2021 · 86 citationsBridging Argument Quality and Deliberative Quality Annotations with AdaptersFindings of the Association for Computational LinguisticsNeele Falk, Gabriella Lapesa2023 · 21 citations
- DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic RulesYanchen Liu, William Held, Diyi Yang2023 · 20 citations
- Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really NecessaryStefan Grünewald, Annemarie Friedrich, Jonas Kuhn2021 · 18 citations
- The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource LanguagesVesa Akerman, David Baines, Damien Daspit, et al.2023 · 9 citations
- Pragmatic and Logical Inferences in NLI Systems: The Case of Conjunction ButtressingPaolo Pedinotti, Emmanuele Chersoni, Enrico Santus, et al.2022 · 2 citations
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing SurveysBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,552 citations
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