Shengzhuang Chen

According to our database, Shengzhuang Chen authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Scales++: Compute Efficient Evaluation Subset Selection with Cognitive Scales Embeddings.

Andrew M. Bean, Nabeel Seedat, Shengzhuang Chen, Jonathan Richard Schwarz

CoRR, October, 2025

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization.

Xu Ouyang, Shengzhuang Chen, Michael Arthur Leopold Pearce, Thomas Hartvigsen, Jonathan Richard Schwarz

Trans. Mach. Learn. Res., 2025

CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models.

Shengzhuang Chen, Yikai Liao, Xiaoxiao Sun, Kede Ma, Ying Wei

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Automatic Expert Discovery in LLM Upcycling via Sparse Interpolated Mixture-of-Experts.

Shengzhuang Chen, Ying Wei, Jonathan Richard Schwarz

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Learning Where to Edit Vision Transformers.

Yunqiao Yang, Long-Kai Huang, Shengzhuang Chen, Kede Ma, Ying Wei

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts.

Shengzhuang Chen, Jihoon Tack, Yunqiao Yang, Yee Whye Teh, Jonathan Richard Schwarz, Ying Wei

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Secure Out-of-Distribution Task Generalization with Energy-Based Models.

Shengzhuang Chen, Long-Kai Huang, Jonathan Richard Schwarz, Yilun Du, Ying Wei

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023