Jonas Pfeiffer

Orcid: 0000-0002-8634-6170

According to our database1, Jonas Pfeiffer authored at least 40 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Modular and Parameter-efficient Fine-tuning of Language Models.
PhD thesis, 2023

Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization.
CoRR, 2023

Modular Deep Learning.
CoRR, 2023

Improving Generalization of Adapter-Based Cross-lingual Transfer with Scheduled Unfreezing.
CoRR, 2023

One does not fit all! On the Complementarity of Vision Encoders for Vision and Language Tasks.
Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

Romanization-based Large-scale Adaptation of Multilingual Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

mmT5: Modular Multilingual Pre-Training Solves Source Language Hallucinations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

CompoundPiece: Evaluating and Improving Decompounding Performance of Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Delving Deeper into Cross-lingual Visual Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Adapting Grounded Visual Question Answering Models to Low Resource Languages.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Where's the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence Segmentation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Retrieve Fast, Rerank Smart: Cooperative and Joint Approaches for Improved Cross-Modal Retrieval.
Trans. Assoc. Comput. Linguistics, 2022

Lifting the Curse of Multilinguality by Pre-training Modular Transformers.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages.
Proceedings of the International Conference on Machine Learning, 2022

xGQA: Cross-Lingual Visual Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

AdapterHub Playground: Simple and Flexible Few-Shot Learning with Adapters.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

UKP-SQUARE: An Online Platform for Question Answering Research.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021
Review of Flux Interaction of Differently Aligned Magnetic Fields in Inductors and Transformers.
IEEE Access, 2021

TUDa at WMT21: Sentence-Level Direct Assessment with Adapters.
Proceedings of the Sixth Conference on Machine Translation, 2021

AdapterDrop: On the Efficiency of Adapters in Transformers.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

What to Pre-Train on? Efficient Intermediate Task Selection.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

UNKs Everywhere: Adapting Multilingual Language Models to New Scripts.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

MAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual Transfer.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

AdapterFusion: Non-Destructive Task Composition for Transfer Learning.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

TxT: Crossmodal End-to-End Learning with Transformers.
Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Low Resource Multi-Task Sequence Tagging - Revisiting Dynamic Conditional Random Fields.
CoRR, 2020

Pre-Service Teachers' Diagnostic Argumentation: What is the Role of Conceptual Knowledge and Cross-Domain Epistemic Activities?
Proceedings of the Interdisciplinarity in the Learning Sciences: Proceedings of the 14th International Conference of the Learning Sciences, 2020

MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

AdapterHub: A Framework for Adapting Transformers.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Low Resource Sequence Tagging with Weak Labels.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels.
CoRR, 2019

What do Deep Networks Like to Read?
CoRR, 2019

Specializing Distributional Vectors of All Words for Lexical Entailment.
Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

Using ENA to Analyze Pre-service Teachers' Diagnostic Argumentations: A Conceptual Framework and Initial Applications.
Proceedings of the Advances in Quantitative Ethnography - First International Conference, 2019

FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
A Neural Autoencoder Approach for Document Ranking and Query Refinement in Pharmacogenomic Information Retrieval.
Proceedings of the BioNLP 2018 workshop, Melbourne, Australia, July 19, 2018, 2018


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