Bolei Ma

Orcid: 0009-0000-0511-550X

According to our database1, Bolei Ma authored at least 31 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
FAITH: Factuality Alignment through Integrating Trustworthiness and Honestness.
CoRR, April, 2026

SURE: Synergistic Uncertainty-aware Reasoning for Multimodal Emotion Recognition in Conversations.
CoRR, April, 2026

Moral Lenses, Political Coordinates: Towards Ideological Positioning of Morally Conditioned LLMs.
CoRR, January, 2026

Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social Simulation.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

MSMO-ABSA: Multi-Scale and Multi-Objective Optimization for Cross-Lingual Aspect-Based Sentiment Analysis.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

The Imperfective Paradox in Large Language Models.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Do Large Language Models Think like the Brain? Sentence-Level Evidences from Layer-Wise Embeddings and fMRI.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Evaluating zero-shot multilingual aspect-based sentiment analysis with large language models.
Int. J. Mach. Learn. Cybern., October, 2025

Capabilities and Evaluation Biases of Large Language Models in Classical Chinese Poetry Generation: A Case Study on Tang Poetry.
CoRR, October, 2025

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

Aligning NLP Models with Target Population Perspectives using PAIR: Population-Aligned Instance Replication.
Proceedings of the The 4th Workshop on Perspectivist Approaches to NLP, 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

Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers.
Proceedings of the International Joint Conference on Neural Networks, 2025

Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models.
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Enhancing Multi-Epitope Vaccine Effectiveness Through State-of-the-Art Proteasomal Cleavage Prediction With Deep Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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
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

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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