Zhaozhuo Xu

• PhD (2023) Rice University (Computer Science)

• Faculty search committee Member

• The International Conference on Machine Learning (ICML) Area Chair
• International Conference on Learning Representations (ICLR) Area Chair
• The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) System Demonstrations Area Chair
• International Conference on Computational Linguistics (COLING) Area Chair
• ACL Rolling Review (ARR) Area Chair
• Conference on Neural Information Processing Systems (NeurIPS) Area Chair
• The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) Area Chair

• IEEE – Institute of Electrical and Electronics Engineers Member
• AAAI – Association for the Advancement of Artificial Intelligence Member

Conference Proceeding

1. Pan, Y.; Lin, H.; Ran, Y.; Chen, J.; Yu, X.; Zhao, W.; Zhang, D.; Xu, Z.; Chiruzzo, L.; Ritter, A.; Wang, L. (2025). ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2025 - Volume 1: Long Papers, Albuquerque, New Mexico, USA, April 29 - May 4, 2025 (pp. 11756--11771). Association for Computational Linguistics.
   https://doi.org/10.18653/v1/2025.naacl-long.589.
2. Xu, Z.; Walsh, T.; Shah, J.; Kolter, Z. (2025). Compression-Aware Computing for Scalable and Sustainable AI. AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA (pp. 28733). AAAI Press.
   https://doi.org/10.1609/aaai.v39i27.35126.
3. Pan, Y.; Chen, J.; Chen, J.; Xu, Z.; Zhang, D. (2025). Iterative Online-Offline Joint Optimization is Needed to Manage Complex LLM Copyright Risks. ICML 2025 International Conference on Machine Learning. ICML 2025 International Conference on Machine Learning.
4. Zhang, D.; Xu, Z.; Zhao, W. (2025). LLMs and Copyright Risks: Benchmarks and Mitigation Approaches. NAACL Proceedings of the 2025 Annual Conference of NAACL: Human Language Technologies (Volume 5: Tutorial) (pp. 44--50).
5. Wang, Z.; Xu, Z.; Xi, J.; Wang, Y.; Shrivastava, A.; Ng, T. S.; Zhou, L.; Zhou, Y. (2025). ZEN: Empowering Distributed Training with Sparsity-driven Data Synchronization. 19th USENIX Symposium on Operating Systems Design and Implementation, OSDI 2025, Boston, MA, USA, July 7-9, 2025 (pp. 537--556). USENIX Association.
   https://www.usenix.org/conference/osdi25/presentation/wang-zhuang.
6. Guo, W.; Long, J.; Zeng, Y.; Liu, Z.; Yang, X.; Ran, Y.; Gardner, J. R.; Bastani, O.; De Sa, C.; Yu, X.; Chen, B.; Xu, Z. (2025). Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity. The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025. OpenReview.net.
   https://openreview.net/forum?id=myYzr50xBh.
7. Xu, J.; Li, S.; Xu, Z.; Zhang, D. (2024). Do LLMs Know to Respect Copyright Notice?. EMNLP 2024 (Main).
8. Yu, Y.; Yao, Z.; Li, H.; Deng, Z.; Jiang, Y.; Cao, Y.; Chen, Z.; Suchow, J.; Cui, Z.; Liu, R.; Xu, Z.; Zhang, D.; Subbalakshmi, K.; Xiong, G.; He, Y.; Huang, J.; Li, D.; Xie, Q.; Globersons, A.; Mackey, L.; Belgrave, D.; Fan, A.; Paquet, U.; Tomczak, J. M.; Zhang, C. (2024). FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making. Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024.
   http://papers.nips.cc/paper/_files/paper/2024/hash/f7ae4fe91d96f50abc2211f09b6a7e49-Abstract-Conference.html.
9. Zhang, T.; Yi, J.; Xu, Z.; Shrivastava, A.; Globersons, A.; Mackey, L.; Belgrave, D.; Fan, A.; Paquet, U.; Tomczak, J. M.; Zhang, C. (2024). KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization. Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024.
   http://papers.nips.cc/paper/_files/paper/2024/hash/05d6b5b6901fb57d2c287e1d3ce6d63c-Abstract-Conference.html.
10. Zhang, T.; Yi, J.; Yao, B.; Xu, Z.; Shrivastava, A.; Globersons, A.; Mackey, L.; Belgrave, D.; Fan, A.; Paquet, U.; Tomczak, J. M.; Zhang, C. (2024). NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention. Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024.
    http://papers.nips.cc/paper/_files/paper/2024/hash/ccda3c632cc8590ee60ca5ba226a4c30-Abstract-Conference.html.
11. Zhou, Y.; Chen, Z.; Xu, Z.; Lin, V.; Chen, B.; Globersons, A.; Mackey, L.; Belgrave, D.; Fan, A.; Paquet, U.; Tomczak, J. M.; Zhang, C. (2024). SIRIUS : Contexual Sparisty with Correction for Efficient LLMs. Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024.
    http://papers.nips.cc/paper/_files/paper/2024/hash/2ae6b2bdf3a179e3e24129e2c54bd871-Abstract-Conference.html.

Journal Article

1. Wu, Y.; Guo, W.; Liu, Z.; Ji, H.; Xu, Z.; Zhang, D. (2025). How large language models encode theory-of-mind: a study on sparse parameter patterns. NPJ Artificial Intelligence. Nature.

workshop

1. Zhao, W.; Shao, H.; Xu, Z.; Duan, S.; Zhang, D. (2024). Measuring Copyright Risks of Large Language Model via Partial Information Probing. CIKM workshop on Data-centric AI.