Siyuan Wu
Orcid: 0009-0006-0960-1699Affiliations:
- Huazhong University of Science and Technology, Wuhan, China
According to our database1,
Siyuan Wu authored at least 22 papers
between 2024 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2026
Guardian-as-an-Advisor: Advancing Next-Generation Guardian Models for Trustworthy LLMs.
CoRR, April, 2026
2025
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.
CoRR, February, 2025
CoRR, February, 2025
Proceedings of the ACM on Web Conference 2025, 2025
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
TRUSTEVAL: A Dynamic Evaluation Toolkit on Trustworthiness of Generative Foundation Models.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Think it Image by Image: Multi-Image Moral Reasoning of Large Vision-Language Models.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
2024
UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
1+1\textgreater2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024