Zheyu Zhang

Orcid: 0009-0004-6491-8037

Affiliations:
  • Technical University of Munich, Germany


According to our database1, Zheyu Zhang authored at least 14 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Consolidating Rewarded Perturbations for LLM Post-Training.
CoRR, May, 2026

Active Tabular Augmentation via Policy-Guided Diffusion Inpainting.
CoRR, May, 2026

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

Where Paths Split: Localized, Calibrated Control of Moral Reasoning in Large Language Models.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

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

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

Not All Features Deserve Attention: Graph-Guided Dependency Learning for Tabular Data Generation with Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Doubling Your Data in Minutes: Ultra-fast Tabular Data Generation via LLM-Induced Dependency Graphs.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

Probabilistic Aggregation and Targeted Embedding Optimization for Collective Moral Reasoning in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

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

mPLM-Sim: Unveiling Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models.
CoRR, 2023


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