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Bolei Ma
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2020 – today
- 2024
- [c5]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 (Findings) 2024: 7407-7416 - [c4]Bolei Ma, Ercong Nie, Shuzhou Yuan, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze:
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks. EACL (1) 2024: 2685-2702 - [c3]Bolei Ma, Xinpeng Wang, Tiancheng Hu, Anna-Carolina Haensch, Michael A. Hedderich, Barbara Plank, Frauke Kreuter:
The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models. EMNLP (Findings) 2024: 8783-8805 - [i11]Bolei Ma, Ercong Nie, Shuzhou Yuan, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze:
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks. CoRR abs/2401.16589 (2024) - [i10]Shuzhou Yuan, Ercong Nie, Bolei Ma, Michael Färber:
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers. CoRR abs/2402.11700 (2024) - [i9]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. CoRR abs/2402.14499 (2024) - [i8]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. CoRR abs/2402.18397 (2024) - [i7]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. CoRR abs/2404.08382 (2024) - [i6]Bolei Ma, Xinpeng Wang, Tiancheng Hu, Anna-Carolina Haensch, Michael A. Hedderich, Barbara Plank, Frauke Kreuter:
The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models. CoRR abs/2406.11096 (2024) - [i5]Chengyan Wu, Bolei Ma, Zheyu Zhang, Ningyuan Deng, Yanqing He, Yun Xue:
Evaluating Zero-Shot Multilingual Aspect-Based Sentiment Analysis with Large Language Models. CoRR abs/2412.12564 (2024) - [i4]Bolei Ma, Berk Yoztyurk, Anna-Carolina Haensch, Xinpeng Wang, Markus Herklotz, Frauke Kreuter, Barbara Plank, Matthias Aßenmacher:
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study. CoRR abs/2412.13169 (2024) - 2023
- [c2]Christoph Kern, Stephanie Eckman, Jacob Beck, Rob Chew, Bolei Ma, Frauke Kreuter:
Annotation Sensitivity: Training Data Collection Methods Affect Model Performance. EMNLP (Findings) 2023: 14874-14886 - [c1]Bolei Ma, Ercong Nie, Helmut Schmid, Hinrich Schütze:
Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language Understanding. KONVENS 2023: 1-16 - [i3]Bolei Ma, Ercong Nie, Helmut Schmid, Hinrich Schütze:
Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language Understanding. CoRR abs/2307.07880 (2023) - [i2]Zheyu Zhang, Han Yang, Bolei Ma, David Rügamer, Ercong Nie:
Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models. CoRR abs/2308.01684 (2023) - [i1]Christoph Kern, Stephanie Eckman, Jacob Beck, Rob Chew, Bolei Ma, Frauke Kreuter:
Annotation Sensitivity: Training Data Collection Methods Affect Model Performance. CoRR abs/2311.14212 (2023)
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