| Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languages E Nie*, S Liang*, H Schmid, H Schütze Findings of ACL 2023, 2022 | 22 | 2022 |
| Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language Understanding B Ma*, E Nie*, H Schmid, H Schütze Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023), 2023 | 5 | 2023 |
| From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL X Li, E Nie, S Liang NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following, 2023 | 4 | 2023 |
| Crosslingual Retrieval Augmented In-context Learning for Bangla X Li, E Nie, S Liang EMNLP 2023 Bangla Language Processing Workshop (BLP 2023), 2023 | 4 | 2023 |
| ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks B Ma*, E Nie*, S Yuan, H Schmid, M Färber, F Kreuter, H Schütze EACL 2024, 2024 | 3 | 2024 |
| BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning E Nie, B Shao, Z Ding, M Wang, H Schmid, H Schütze arXiv preprint arXiv:2406.17764, 2024 | 2 | 2024 |
| Decomposed Prompting: Unveiling Multilingual Linguistic Structure Knowledge in English-Centric Large Language Models E Nie, S Yuan, B Ma, H Schmid, M Färber, F Kreuter, H Schütze arXiv preprint arXiv:2402.18397, 2024 | 2 | 2024 |
| GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network S Yuan, E Nie, M Färber, H Schmid, H Schütze Findings of ACL 2024, 2024 | 2 | 2024 |
| Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models Z Zhang*, H Yang*, B Ma*, D Rügamer, E Nie† CoNLL Conference BabyLM Challenge, 2023 | 2 | 2023 |
| A Unified Data Augmentation Framework for Low-Resource Multi-Domain Dialogue Generation Y Liu*, E Nie*, Z Hua, Z Ding, D Wang, Y Zhang, H Schütze ECML-PKDD 2024, 2024 | 1 | 2024 |
| Decoding Probing: Revealing Internal Linguistic Structures in Neural Language Models using Minimal Pairs L He, P Chen, E Nie, Y Li, JR Brennan LREC-COLING 2024, 2024 | 1 | 2024 |
| Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers S Yuan, E Nie, B Ma, M Färber arXiv preprint arXiv:2402.11700, 2024 | 1 | 2024 |
| Unleashing the Multilingual Encoder Potential: Boosting Zero-Shot Performance via Probability Calibration E Nie, H Schmid, H Schütze Findings of EMNLP 2023, 2023 | 1 | 2023 |
| Team mgtd4adl at semeval-2024 task 8: Leveraging (sentence) transformer models with contrastive learning for identifying machine-generated text H Chen, J Büssing, D Rügamer, E Nie† Proceedings of the 18th International Workshop on Semantic Evaluation …, 2024 | | 2024 |
| Cross-Lingual Constituency Parsing for Middle High German: A Delexicalized Approach E Nie, H Schmid, H Schütze RANLP 2023 Workshop on Ancient Language Processing (ALP 2023), 2023 | | 2023 |
| What cleaves? Is proteasomal cleavage prediction reaching a ceiling? I Ziegler, B Ma, E Nie, B Bischl, D Rügamer, B Schubert, E Dorigatti NeurIPS 2022 Workshop on Learning Meaningful Representations of Life (LMRL 2022), 2022 | | 2022 |
| Zero-Shot Learning on Low-Resource Languages by Cross-Lingual Retrieval E Nie Master Thesis, LMU Munich, 2022 | | 2022 |
| Fine-Tuned Sentence Transformer Model for Question Answering Task E Nie 71. StuTS 2022, 2022 | | 2022 |
Hinrich SchützeUniversity of MunichVerified email at cis.lmu.de
