Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languages. - Ercong Nie; Sheng Liang; Helmut Schmid; Hinrich Schütze (ACL (Findings), 2023)

Unleashing the Multilingual Encoder Potential: Boosting Zero-Shot Performance via Probability Calibration. - Ercong Nie; Helmut Schmid; Hinrich Schütze (EMNLP (Findings), 2023)

Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language Understanding. - Bolei Ma; Ercong Nie; Helmut Schmid; Hinrich Schütze (KONVENS, 2023)

Cross-Lingual Constituency Parsing for Middle High German: A Delexicalized Approach. - Ercong Nie; Helmut Schmid; Hinrich Schütze (ALP@RANLP, 2023)

Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models. - Zheyu Zhang 007; Han Yang; Bolei Ma; David Rügamer; Ercong Nie (CoRR, 2023)

Crosslingual Retrieval Augmented In-context Learning for Bangla. - Xiaoqian Li; Ercong Nie; Sheng Liang (CoRR, 2023)

From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL. - Xiaoqian Li; Ercong Nie; Sheng Liang (CoRR, 2023)

GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network. - Shuzhou Yuan; Ercong Nie; Michael Färber 001; Helmut Schmid; Hinrich Schütze (ACL (Findings), 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 (LREC/COLING, 2024)

ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks. - Bolei Ma; Ercong Nie; Shuzhou Yuan; Helmut Schmid; Michael Färber 001; Frauke Kreuter; Hinrich Schütze (EACL (1), 2024)

A Unified Data Augmentation Framework for Low-Resource Multi-domain Dialogue Generation. - Yongkang Liu 002; Ercong Nie; Shi Feng 001; Zheng Hua; Zifeng Ding; Daling Wang; Yifei Zhang 003; Hinrich Schütze (ECML/PKDD (2), 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 (SemEval@NAACL, 2024)

Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers. - Shuzhou Yuan; Ercong Nie; Bolei Ma; Michael Färber 001 (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 001; Frauke Kreuter; Hinrich Schütze (CoRR, 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)

Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models. - Mingyang Wang 003; Heike Adel; Lukas Lange; Yihong Liu 001; Ercong Nie; Jannik Strötgen; Hinrich Schütze (ACL (1), 2025)

Large Language Models as Neurolinguistic Subjects: Discrepancy between Performance and Competence. - Linyang He; Ercong Nie; Helmut Schmid; Hinrich Schütze; Nima Mesgarani; Jonathan Brennan (ACL (Findings), 2025)

BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning. - Ercong Nie; Bo Shao; Mingyang Wang 003; Zifeng Ding; Helmut Schmid; Hinrich Schütze (ACL (1), 2025)

Language Model Re-rankers are Steered by Lexical Similarities. - Lovisa Hagström; Ercong Nie; Ruben Halifa; Helmut Schmid; Richard Johansson; Alexander Junge (CoRR, 2025)

XCOMPS: A Multilingual Benchmark of Conceptual Minimal Pairs. - 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; et al. (CoRR, 2025)

Tracing Multilingual Factual Knowledge Acquisition in Pretraining. - Yihong Liu 001; Mingyang Wang 003; Amir Hossein Kargaran; Felicia Körner; Ercong Nie; Barbara Plank; François Yvon; Hinrich Schütze (CoRR, 2025)

Mechanistic Understanding and Mitigation of Language Confusion in English-Centric Large Language Models. - Ercong Nie; Helmut Schmid; Hinrich Schütze (CoRR, 2025)

Look Within or Look Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning. - Yongkang Liu 002; Xingle Xu; Ercong Nie; Zijing Wang; Shi Feng 001; Daling Wang; Qian Li 043; Hinrich Schütze (CoRR, 2025)

LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification. - Shuzhou Yuan; Ercong Nie; Lukas Kouba; Ashish Yashwanth Kangen; Helmut Schmid; Hinrich Schütze; Michael Färber 001 (CoRR, 2025)

XToM: Exploring the Multilingual Theory of Mind for Large Language Models. - Chunkit Chan; Yauwai Yim; Hongchuan Zeng; Zhiying Zou; Xinyuan Cheng; Zhifan Sun; Zheye Deng; Kawai Chung; Yuzhuo Ao; Yixiang Fan; Cheng Jiayang; Ercong Nie; et al. (CoRR, 2025)

Hateful Person or Hateful Model? Investigating the Role of Personas in Hate Speech Detection by Large Language Models. - Shuzhou Yuan; Ercong Nie; Mario Tawfelis; Helmut Schmid; Hinrich Schütze; Michael Färber 001 (CoRR, 2025)

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation. - Shuzhou Yuan; William LaCroix; Hardik Ghoshal; Ercong Nie; Michael Färber 001 (CoRR, 2025)