Shaoyang Xu

According to our database1, Shaoyang Xu 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

On csauthors.net:

Bibliography

2026
Process Rewards with Learned Reliability.
CoRR, May, 2026

MoltNet: Understanding Social Behavior of AI Agents in the Agent-Native MoltBook.
CoRR, February, 2026

Training Data Efficiency in Multimodal Process Reward Models.
CoRR, February, 2026

Language of Thought Shapes Output Diversity in Large Language Models.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Self-Pluralising Culture Alignment for Large Language Models.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

DCIS: Efficient Length Extrapolation of LLMs via Divide-and-Conquer Scaling Factor Search.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

CONTRANS: Weak-to-Strong Alignment Engineering via Concept Transplantation.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
DCIS: Efficient Length Extrapolation of LLMs via Divide-and-Conquer Scaling Factor Search.
CoRR, 2024

Multilingual Large Language Models: A Systematic Survey.
CoRR, 2024

Exploring Multilingual Human Value Concepts in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages?
CoRR, 2024

Exploring Multilingual Concepts of Human Values in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Mitigating Privacy Seesaw in Large Language Models: Augmented Privacy Neuron Editing via Activation Patching.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Language Representation Projection: Can We Transfer Factual Knowledge across Languages in Multilingual Language Models?
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023


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