Schuetze NLP Lab, Center for Information and Language Processing (CIS),
Ludwig Maximilians University of Munich (LMU Munich),
Munich Center for Machine Learning (MCML)
Email: lastname@cis.lmu.de
About Me
- Hi, I am Ercong, a third-year PhD student at Center for Information and Language Processing (CIS), LMU Munich.
- I am supervised by PD. Dr. Helmut Schmid. I am also part of the Schütze Lab led by Prof. Hinrich Schütze, and an affiliated doctoral researcher of Munich Center for Machine Learning (MCML).
- I obtained my M.Sc. degree in computational linguistics and informatics (computer science) at LMU Munich. Prior to LMU, I was an undergraduate at Shanghai Jiao Tong University (SJTU), majoring in German Studies and minoring in Finance. During my bachelor study, I spent one exchange semester at University of Heidelberg in Comparative German Studies.
Research Interest
I have a broad research interest in the field of Natural Language Processing (NLP), especially in multilingual NLP, efficient methods for NLP, and human-inspired NLP.
- Multilingual NLP: multilinguality of LLMs (Nie et al., 2024), cross-lingual transfer (Nie et al., 2023a, Li et al., 2023b, Ma et al., 2024, Nie et al., 2025a), historical language processing (Nie et al., 2023b).
- Human-inspired NLP: NLP inspired by human language processing (Zhang et al., 2023, [Yan et al., 2025]https://arxiv.org/pdf/2508.19828)), computational neurolinguistics (He et al., 2024, (He et al., 2024a], b), mechanistic interpretability (Nie et al., 2025b).
- Efficient methods for NLP: prompt-based learning(Nie et al., 2023c, Ma et al., 2023, Li et al., 2023a), low-resource learning (Liu et al., 2024), parameter-efficient fine-tuning (Yuan et al., 2024a, Yuan et al., 2024b).
Feel free to reach out if you're interested in topics related to NLP, LLM and Agentic AI, including multilinguality, interpretability, retrieval-/memory-augmented methods, human-inspired NLP, and their intersections with digital humanities and social sciences or domain-specific applications.
Selected Publications
- Ercong Nie, Helmut Schmid, Hinrich Schütze. Mechanistic Understanding and Mitigation of Language Confusion in English-Centric Large Language Models. In EMNLP 2025 Findings. [Paper]
- Ercong Nie*, Bo Shao*, Zifeng Ding, Mingyang Wang, Helmut Schmid, Hinrich Schütze. Bmike-53: Investigating cross-lingual knowledge editing with in-context learning. In ACL 2025 (oral). [Paper]
- Linyang He, Ercong Nie, Helmut Schmid, Hinrich Schütze, Nima Mesgarani, Jonathan Brennan. Large Language Models as Neurolinguistic Subjects: Identifying Internal Representations for Form and Meaning. In ACL Findings 2025. [Paper]
- Mingyang Wang, Heike Adel, Lukas Lange, Yihong Liu, Ercong Nie, Jannik Strötgen, Hinrich Schuetze. Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models. In ACL 2025 (SAC Award). [Paper]
- Shuzhou Yuan, Ercong Nie, Bolei Ma, Michael Färber. Why lift so heavy? Slimming large language models by cutting off the layers. In IJCNN 2025. [paper]
- Shuzhou Yuan, Ercong Nie, Michael Färber, Helmut Schmid, Hinrich Schuetze. GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network. In ACL Findings 2024. [Paper], [Code]
- Ercong Nie*, Sheng Liang*, Helmut Schmid, Hinrich Schütze. Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languages. In ACL Findings 2023. [Paper], [Code]
- Ercong Nie, Helmut Schmid, Hinrich Schuetze. Unleashing the Multilingual Encoder Potential: Boosting Zero-Shot Performance via Probability Calibration. In EMNLP Findings 2023. [Paper], [Code]
- Yongkang Liu*, Ercong Nie*, Shi Feng, Zheng Hua, Zifeng Ding, Daling Wang, Yifei Zhang, Hinrich Schütze. A Unified Data Augmentation Framework for Low-Resource Multi-domain Dialogue Generation. In ECML-PKDD 2024. [Paper]
- Bolei Ma*, Ercong Nie*, Shuzhou Yuan, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schuetze. ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks. In EACL 2024 (oral). [Paper], [Code]
(* denotes equal contribution)
See more in my publications.
Academic Services
Conference Reviewer
- 2025: ACL ARR (ACL, EMNLP, NAACL), COLING, IJCNN, Second Workshop on Ancient Language Processing @ NAACL, The 19th Linguistic Annotation Workshop @ ACL
- 2024: ACL ARR (ACL, EMNLP, NAACL, EACL), LREC-COLING, SemEval
- 2023: EMNLP, First Workshop on Bangla Language Processing @ EMNLP, Workshop on Instruction Tuning and Instruction Following @ NeurIPS, CoNLL-CMCL BabyLM Challenge @ EMNLP
Journal Reviewer
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- ACM Transactions on Intelligent Systems and Technology (TIST)
- Royal Society Open Science (RSOS)
- ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)
Community Members
- Committee member of NICE, an NLP Academic Exchange Platform.
- Member of AI Grid, a German AI community connecting young AI scientists funded by the German Federal Ministry of Education and Research.
- Junior member of Munich Center for Machine Learning (MCML), one of six German national AI Competence Centers.
- Member of NLP/CL communities such as ACL, GSCL (German Society for Computational Linguistics and Language Technology)
Credits: This page was originally created by Peiqin Lin and has been adopted and modified by me.
