Yiqiao Zhong

According to our database, Yiqiao Zhong authored at least 16 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Unifying Attention Heads and Task Vectors via Hidden State Geometry in In-Context Learning.

Haolin Yang, Hakaze Cho, Yiqiao Zhong, Naoya Inoue

CoRR, May, 2025

A statistical theory of overfitting for imbalanced classification.

Jingyang Lyu, Kangjie Zhou, Yiqiao Zhong

CoRR, February, 2025

Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity.

Rheeya Uppaal, Apratim Dey, Yiting He, Yiqiao Zhong, Junjie Hu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective.

Zhexuan Liu, Rong Ma, Yiqiao Zhong

CoRR, 2024

Out-of-distribution generalization via composition: a lens through induction heads in Transformers.

Jiajun Song, Zhuoyan Xu, Yiqiao Zhong

CoRR, 2024

DeTox: Toxic Subspace Projection for Model Editing.

Rheeya Uppaal, Apratim Dey, Yiting He, Yiqiao Zhong, Junjie Hu

CoRR, 2024

How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes.

Harmon Bhasin, Timothy Ossowski, Yiqiao Zhong, Junjie Hu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

2023

Uncovering hidden geometry in Transformers via disentangling position and context.

Jiajun Song, Yiqiao Zhong

CoRR, 2023

Unraveling Projection Heads in Contrastive Learning: Insights from Expansion and Shrinkage.

Yu Gui, Cong Ma, Yiqiao Zhong

CoRR, 2023

2021

Tractability from overparametrization: The example of the negative perceptron.

Andrea Montanari, Yiqiao Zhong, Kangjie Zhou

CoRR, 2021

2020

The Interpolation Phase Transition in Neural Networks: Memorization and Generalization under Lazy Training.

Andrea Montanari, Yiqiao Zhong

CoRR, 2020

2019

A Selective Overview of Deep Learning.

Jianqing Fan, Cong Ma, Yiqiao Zhong

CoRR, 2019

2018

Near-Optimal Bounds for Phase Synchronization.

Yiqiao Zhong, Nicolas Boumal

SIAM J. Optim., 2018

2017

An $\ell_{\infty}$ Eigenvector Perturbation Bound and Its Application.

Jianqing Fan, Weichen Wang, Yiqiao Zhong

J. Mach. Learn. Res., 2017

2016

Differentially Private Data Releasing for Smooth Queries.

Ziteng Wang, Chi Jin, Kai Fan, Jiaqi Zhang, Junliang Huang, Yiqiao Zhong, Liwei Wang

J. Mach. Learn. Res., 2016

2014

Differentially Private Data Releasing for Smooth Queries with Synthetic Database Output.

Chi Jin, Ziteng Wang, Junliang Huang, Yiqiao Zhong, Liwei Wang

CoRR, 2014