| Lawbench: Benchmarking legal knowledge of large language models Z Fei, X Shen, D Zhu, F Zhou, Z Han, S Zhang, K Chen, Z Shen, J Ge arXiv preprint arXiv:2309.16289, 2023 | 66 | 2023 |
| Transfer learning and distant supervision for multilingual transformer models: A study on African languages MA Hedderich, D Adelani, D Zhu, J Alabi, U Markus, D Klakow Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 63 | 2020 |
| Neural data-to-text generation with lm-based text augmentation E Chang, X Shen, D Zhu, V Demberg, H Su arXiv preprint arXiv:2102.03556, 2021 | 51 | 2021 |
| Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification D Zhu, MA Hedderich, F Zhai, DI Adelani, D Klakow ACL 2022 Workshop on Insights from Negative Results in NLP, 2022 | 32 | 2022 |
| Analysing the noise model error for realistic noisy label data MA Hedderich, D Zhu, D Klakow Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7675-7684, 2021 | 20 | 2021 |
| Weaker Than You Think: A Critical Look at Weakly Supervised Learning D Zhu, X Shen, M Mosbach, A Stephan, D Klakow ACL 2023, 2023 | 15 | 2023 |
| Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yor\ub\'a DI Adelani, MA Hedderich, D Zhu, E Berg, D Klakow ICLR 2020 Workshop Pratical Machine Learning for Developing Countries Workshop, 2020 | 12 | 2020 |
| Image manipulation with natural language using two-sided attentive conditional generative adversarial network D Zhu, A Mogadala, D Klakow Neural Networks 136, 207-217, 2021 | 11 | 2021 |
| Meta Self-Refinement for Robust Learning with Weak Supervision D Zhu, X Shen, MA Hedderich, D Klakow EACL 2023, 2022 | 7 | 2022 |
| Robust Pronoun Use Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased? V Gautam, E Bingert, D Zhu, A Lauscher, D Klakow arXiv preprint arXiv:2404.03134, 2024 | 6 | 2024 |
| A Preference-driven Paradigm for Enhanced Translation with Large Language Models D Zhu, S Trenous, X Shen, D Klakow, B Byrne, E Hasler NAACL 2024, 2024 | 5 | 2024 |
| Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice? D Zhu, P Chen, M Zhang, B Haddow, X Shen, D Klakow arXiv preprint arXiv:2404.14122, 2024 | 4 | 2024 |
| Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages D Zhu, MA Hedderich, F Zhai, DI Adelani, D Klakow ICLR 2022 Workshop AfricaNLP, 2022 | | 2022 |
| Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression. FS Khoo, D Zhu, MA Hedderich, D Klakow ESANN, 2021 | | 2021 |
| Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá D Ifeoluwa Adelani, MA Hedderich, D Zhu, E van den Berg, D Klakow arXiv e-prints, arXiv: 2003.08370, 2020 | | 2020 |
