Ercong Nie

According to our database, Ercong Nie authored at least 16 papers between 2023 and 2024.

Collaborative distances:

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

2024

Large Language Models as Neurolinguistic Subjects: Identifying Internal Representations for Form and Meaning.

Linyang He, Ercong Nie, Helmut Schmid, Hinrich Schütze, Nima Mesgarani, Jonathan Brennan

CoRR, 2024

BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning.

Ercong Nie, Bo Shao, Zifeng Ding, Mingyang Wang, Helmut Schmid, Hinrich Schütze

CoRR, 2024

Decomposed Prompting: Unveiling Multilingual Linguistic Structure Knowledge in English-Centric Large Language Models.

Ercong Nie, Shuzhou Yuan, Bolei Ma, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze

CoRR, 2024

Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers.

Shuzhou Yuan, Ercong Nie, Bolei Ma, Michael Färber

CoRR, 2024

Team MGTD4ADL at SemEval-2024 Task 8: Leveraging (Sentence) Transformer Models with Contrastive Learning for Identifying Machine-Generated Text.

Huixin Chen, Jan Büssing, David Rügamer, Ercong Nie

Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

A Unified Data Augmentation Framework for Low-Resource Multi-domain Dialogue Generation.

Yongkang Liu, Ercong Nie, Shi Feng, Zheng Hua, Zifeng Ding, Daling Wang, Yifei Zhang, Hinrich Schütze

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks.

Bolei Ma, Ercong Nie, Shuzhou Yuan, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Decoding Probing: Revealing Internal Linguistic Structures in Neural Language Models Using Minimal Pairs.

Linyang He, Peili Chen, Ercong Nie, Yuanning Li, Jonathan R. Brennan

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network.

Shuzhou Yuan, Ercong Nie, Michael Färber, Helmut Schmid, Hinrich Schütze

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL.

Xiaoqian Li, Ercong Nie, Sheng Liang

CoRR, 2023

Crosslingual Retrieval Augmented In-context Learning for Bangla.

Xiaoqian Li, Ercong Nie, Sheng Liang

CoRR, 2023

Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models.

Zheyu Zhang, Han Yang, Bolei Ma, David Rügamer, Ercong Nie

CoRR, 2023

Cross-Lingual Constituency Parsing for Middle High German: A Delexicalized Approach.

Ercong Nie, Helmut Schmid, Hinrich Schütze

Proceedings of the Ancient Language Processing Workshop, 2023

Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language Understanding.

Bolei Ma, Ercong Nie, Helmut Schmid, Hinrich Schütze

Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023), 2023

Unleashing the Multilingual Encoder Potential: Boosting Zero-Shot Performance via Probability Calibration.

Ercong Nie, Helmut Schmid, Hinrich Schütze

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languages.

Ercong Nie, Sheng Liang, Helmut Schmid, Hinrich Schütze

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023