| Masking as an Efficient Alternative to Finetuning for Pretrained Language Models M Zhao, T Lin, F Mi, M Jaggi, H Schütze Empirical Methods in Natural Language Processing (EMNLP), 2226--2241, 2020 | 108 | 2020 |
| Continual learning for natural language generation in task-oriented dialog systems F Mi, L Chen, M Zhao, M Huang, B Faltings Findings of the Association for Computational Linguistics: EMNLP 2020, 3461 …, 2020 | 72 | 2020 |
| A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters M Zhao, Y Zhu, E Shareghi, I Vulić, R Reichart, A Korhonen, H Schütze Annual Meeting of the Association for Computational Linguistics (ACL) 1 …, 2021 | 65* | 2021 |
| Discrete and Soft Prompting for Multilingual Models M Zhao, H Schütze Empirical Methods in Natural Language Processing (EMNLP), 8547--8555, 2021 | 62 | 2021 |
| Modular and Parameter-Efficient Multimodal Fusion with Prompting S Liang, M Zhao, H Schütze Findings of the Association for Computational Linguistics: ACL 2022, 2022 | 45 | 2022 |
| GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses W Ma, M Zhao, E Soremekun, Q Hu, J Zhang, M Papadakis, M Cordy, ... IEEE/ACM The 2022 Mining Software Repositories Conference, 2022 | 36 | 2022 |
| Quantifying the contextualization of word representations with semantic class probing M Zhao, P Dufter, Y Yaghoobzadeh, H Schütze Findings of the Association for Computational Linguistics: EMNLP 2020, 1219 …, 2020 | 27 | 2020 |
| Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities W Ma, S Liu, M Zhao, X Xie, W Wang, Q Hu, J Zhang, Y Liu ACM Transactions on Software Engineering and Methodology, 2024 | 26* | 2024 |
| Embedding learning through multilingual concept induction P Dufter, M Zhao, M Schmitt, A Fraser, H Schütze Annual Meeting of the Association for Computational Linguistics (ACL) 1 …, 2018 | 24 | 2018 |
| LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework M Zhao, F Mi, Y Wang, M Li, X Jiang, Q Liu, H Schütze Findings of the Association for Computational Linguistics: NAACL 2022, 2022 | 19* | 2022 |
| A multilingual bpe embedding space for universal sentiment lexicon induction M Zhao, H Schütze Annual Meeting of the Association for Computational Linguistics (ACL), 3506-3517, 2019 | 18 | 2019 |
| Towards reporting bias in visual-language datasets: bimodal augmentation by decoupling object-attribute association Q Wu, M Zhao, Y He, L Huang, J Ono, H Wakaki, Y Mitsufuji arXiv preprint arXiv:2310.01330, 2023 | 4 | 2023 |
| Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning Z Xie, BP Majumder, M Zhao, Y Maeda, K Yamada, H Wakaki, J McAuley Findings of the Association for Computational Linguistics: ACL 2024, 2024 | 3 | 2024 |
| Multilingual Embeddings Jointly Induced from Contexts and Concepts: Simple, Strong and Scalable P Dufter, M Zhao, H Schütze arXiv:1811.00586, 2018 | 3* | 2018 |
| Specmaskgit: Masked generative modeling of audio spectrograms for efficient audio synthesis and beyond M Comunità, Z Zhong, A Takahashi, S Yang, M Zhao, K Saito, Y Ikemiya, ... The 25th International Society for Music Information Retrieval (ISMIR), 2024 | 2 | 2024 |
| Glov: Guided large language models as implicit optimizers for vision language models MJ Mirza, M Zhao, Z Mao, S Doveh, W Lin, P Gavrikov, M Dorkenwald, ... arXiv preprint arXiv:2410.06154, 2024 | 2 | 2024 |
| This joke is [MASK]: Recognizing Humor and Offense with Prompting J Li, M Zhao, Y Xie, A Maronikolakis, P Pu, H Schütze NeurIPS 2022 - Transfer Learning for Natural Language Processing Workshop, 2022 | 2 | 2022 |
| Visual Echoes: A Simple Unified Transformer for Audio-Visual Generation S Yang, Z Zhong, M Zhao, S Takahashi, M Ishii, T Shibuya, Y Mitsufuji arXiv preprint arXiv:2405.14598, 2024 | 1 | 2024 |
| Using Natural Language Inference to Improve Persona Extraction from Dialogue in a New Domain A DeLucia, M Zhao, Y Maeda, M Yoda, K Yamada, H Wakaki arXiv preprint arXiv:2401.06742, 2024 | 1 | 2024 |
| Mining your own secrets: Diffusion classifier scores for continual personalization of text-to-image diffusion models S Jha, S Yang, M Ishii, M Zhao, C Simon, MJ Mirza, D Gong, L Yao, ... The Thirteenth International Conference on Learning Representations (ICLR), 2025 | | 2025 |
Hinrich SchützeUniversity of Munichبريد إلكتروني تم التحقق منه على cis.lmu.de
