Ercong Nie [ɚ'tsʰʊŋ, niɛ]

Publications

  • 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]
  • Linyang He*, Ercong Nie*, Sukru Samet Dindar, Arsalan Firoozi, Adrian Florea, Van Nguyen, Corentin Puffay, Riki Shimizu, Haotian Ye, Jonathan Brennan, Helmut Schmid, Hinrich Schütze, Nima Mesgarani. XCOMPS: A Multilingual Benchmark of Conceptual Minimal Pairs. In arXiv 2025. [Paper]
  • Lovisa Hagström, Ercong Nie, Ruben Halifa, Helmut Schmid, Richard Johansson, Alexander Junge. Language Model Re-rankers are Steered by Lexical Similarities. In arXiv 2025. [Paper]
  • Linyang He, Ercong Nie, Helmut Schmid, Hinrich Schütze, Nima Mesgarani, Jonathan Brennan. Large Language Models as Neurolinguistic Subjects: Discrepancy in Performance and Competence for Form and Meaning. In arXiv 2024. [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 arXiv 2024. [Paper]
  • Ercong Nie, Shuzhou Yuan, Bolei Ma, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze. Decomposed prompting: Unveiling multilingual linguistic structure knowledge in english-centric large language models. In arXiv 2024. [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]
  • Huixin Chen, Jan Büssing, David Rügamer, Ercong Nie†. **Team MGTD4ADL at SemEval-2024 Task 8: Leveraging (Sentence) Transformer Models with Contrastive Learning for Identifying Machine-Generated Text. In SemEval-2024@NAACL. [Paper]
  • Linyang He, Peili Chen, Ercong Nie, Yuanning Li, Jonathan R. Brennan. Decoding Probing: Revealing Internal Linguistic Structures in Neural Language Models Using Minimal Pairs. In LREC-COLING 2024. [Paper]
  • 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. [Paper], [Code]
  • Xiaoqian Li, Ercong Nie, Sheng Liang. From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL. In Instruction-2023@NeurIPS. [Paper]
  • Ercong Nie, Helmut Schmid, Hinrich Schuetze. Unleashing the Multilingual Encoder Potential: Boosting Zero-Shot Performance via Probability Calibration. In EMNLP Findings 2023. [Paper], [Code]
  • Zheyu Zhang*, Han Yang*, Bolei Ma*, David Rügamer, Ercong Nie†. Baby’s CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models. In CONLL-BabyLM 2023. [Paper]
  • Xiaoqian Li, Ercong Nie, Sheng Liang. Crosslingual Retrieval Augmented In-context Learning for Bangla. In BLP-2023@EMNLP. [Paper]
  • Ercong Nie, Helmut Schmid, Hinrich Schütze. Cross-Lingual Constituency Parsing for Middle High German: A Delexicalized Approach. In ALP-2023@RANLP. [Paper]
  • Bolei Ma, Ercong Nie, Helmut Schmid, Hinrich Schuetze. Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language Understanding. In KONVENS 2023. [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]
  • Ingo Ziegler, Bolei Ma, Ercong Nie, Bernd Bischl, David Rügamer, Benjamin Schubert, Emilio Dorigatti. What cleaves? Is proteasomal cleavage prediction reaching a ceiling?. In LMRL-2022@NeurIPS. [Paper]
  • Ercong Nie. Fine-Tuned Sentence Transformer Model for Question Answering Task. In StuTS 2022. [Paper]

(* denotes equal contribution, † denotes corresponding author.)