2024:
- Xinpeng Wang, Chengzhi Hu, Bolei Ma, Paul Röttger, Barbara Plank: Look at the Text: Instruction-Tuned Language Models are More Robust Multiple Choice Selectors than You Think. COLM 2024.
- Bolei Ma: Evaluating Lexical Aspect with Large Language Models. ACL 2024 CMCL.
- Andreas Dimmelmeier, Hendrik Christian Doll, Malte Schierholz, Emily Kormanyos, Maurice Fehr, Bolei Ma, Jacob Beck, Alexander Fraser, Frauke Kreuter: Informing Climate Risk Analysis Using Textual Information - A Research Agenda. ACL 2024 ClimateNLP.
- Xinpeng Wang, Bolei Ma, Chengzhi Hu, Leon Weber-Genzel, Paul Röttger, Frauke Kreuter, Dirk Hovy, Barbara Plank: "My Answer is C": First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models. ACL 2024 Findings.
- Jacob Beck, Stephanie Eckman, Bolei Ma, Rob Chew, and Frauke Kreuter: Order Effects in Annotation Tasks: Further Evidence of Annotation Sensitivity. EACL 2024 UncertaiNLP.
- Bolei Ma, Ercong Nie, Shuzhou Yuan, Helmut Schmid, Michael Färber, Frauke Kreuter, and Hinrich Schütze: ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks. EACL 2024.
2023:
- Christoph Kern, Stephanie Eckman, Jacob Beck, Rob Chew, Bolei Ma, and Frauke Kreuter: Annotation Sensitivity: Training Data Collection Methods Affect Model Performance. EMNLP 2023 Findings.
- Zheyu Zhang, Han Yang, Bolei Ma, David Rügamer, and Ercong Nie: Baby’s CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models. CoNLL 2023 BabyLM Challenge.
- Ingo Ziegler, Bolei Ma, Bernd Bischl, Emilio Dorigatti, and Benjamin Schubert: Proteasomal Cleavage Prediction: State-Of-The-Art and Future Directions. bioRxiv.
- Bolei Ma, Ercong Nie, Helmut Schmid, and Hinrich Schütze: Is Prompt-Based Finetuning Always Better Than Vanilla Finetuning? Insights from Cross-Lingual Language Understanding. KONVENS 2023.
2022: