Clifton Poth

According to our database, Clifton Poth authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data.

Lukas Struppek, Martin B. Hentschel, Clifton Poth, Dominik Hintersdorf, Kristian Kersting

CoRR, 2023

ML Mob at SemEval-2023 Task 5: "Breaking News: Our Semi-Supervised and Multi-Task Learning Approach Spoils Clickbait".

Hannah Sterz, Leonard Bongard, Tobias Werner, Clifton Poth, Martin Hentschel

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

ML Mob at SemEval-2023 Task 1: Probing CLIP on Visual Word-Sense Disambiguation.

Clifton Poth, Martin Hentschel, Tobias Werner, Hannah Sterz, Leonard Bongard

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning.

Clifton Poth, Hannah Sterz, Indraneil Paul, Sukannya Purkayastha, Leon Engländer, Timo Imhof, Ivan Vulic, Sebastian Ruder, Iryna Gurevych, Jonas Pfeiffer

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

UKP-SQUARE: An Online Platform for Question Answering Research.

Tim Baumgärtner, Kexin Wang, Rachneet Sachdeva, Gregor Geigle, Max Eichler, Clifton Poth, Hannah Sterz, Haritz Puerto, Leonardo F. R. Ribeiro, Jonas Pfeiffer, Nils Reimers, Gözde Gül Sahin, Iryna Gurevych

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021

What to Pre-Train on? Efficient Intermediate Task Selection.

Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, Iryna Gurevych

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

AdapterHub: A Framework for Adapting Transformers.

Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, Aishwarya Kamath, Ivan Vulic, Sebastian Ruder, Kyunghyun Cho, Iryna Gurevych

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020