Bolei Ma

Orcid: 0009-0000-0511-550X

According to our database1, Bolei Ma authored at least 18 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Do Large Language Models Think Like the Brain? Sentence-Level Evidence from fMRI and Hierarchical Embeddings.
CoRR, May, 2025

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects.
CoRR, May, 2025

Multi-Scale and Multi-Objective Optimization for Cross-Lingual Aspect-Based Sentiment Analysis.
CoRR, February, 2025

M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis.
CoRR, February, 2025

Correcting Annotator Bias in Training Data: Population-Aligned Instance Replication (PAIR).
CoRR, January, 2025

Can Large Language Models Advance Crosswalks? The Case of Danish Occupation Codes.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Evaluating Zero-Shot Multilingual Aspect-Based Sentiment Analysis with Large Language Models.
CoRR, 2024

Look at the Text: Instruction-Tuned Language Models are More Robust Multiple Choice Selectors than You Think.
CoRR, 2024

Decomposed Prompting: Unveiling Multilingual Linguistic Structure Knowledge in English-Centric Large Language Models.
CoRR, 2024

Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers.
CoRR, 2024

The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

"My Answer is C": First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models.
CoRR, 2023

Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language Understanding.
Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023), 2023

Annotation Sensitivity: Training Data Collection Methods Affect Model Performance.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023


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