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 | 88 | 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 | 57 | 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 | 56* | 2021 |
Discrete and Soft Prompting for Multilingual Models M Zhao, H Schütze Empirical Methods in Natural Language Processing (EMNLP), 8547--8555, 2021 | 50 | 2021 |
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 | 30 | 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 | 25 | 2020 |
Modular and Parameter-Efficient Multimodal Fusion with Prompting S Liang, M Zhao, H Schütze Findings of the Association for Computational Linguistics: ACL 2022, 2022 | 24 | 2022 |
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 | 13* | 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 | 13 | 2019 |
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 | 7* | 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 |
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 | 1 | 2023 |
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 | 1 | 2022 |
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 | | 2024 |
DiffuCOMET: Contextual Commonsense Knowledge Diffusion S Gao, M Ismayilzada, M Zhao, H Wakaki, Y Mitsufuji, A Bosselut Annual Meeting of the Association for Computational Linguistics (ACL), 2024 | | 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 | | 2024 |
On the Language Encoder of Contrastive Cross-modal Models M Zhao, J Ono, Z Zhong, CH Lai, Y Takida, N Murata, WH Liao, T Shibuya, ... Findings of the Association for Computational Linguistics: ACL 2024, 2024 | | 2024 |
Efficient transfer learning with pretrained language models M Zhao Universität München, 2022 | | 2022 |