Xinran Gu

According to our database, Xinran Gu authored at least 7 papers between 2021 and 2026.

Collaborative distances:

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

2026

Capacity-Aware Mixture Law Enables Efficient LLM Data Optimization.

Jingwei Li, Xinran Gu, Jingzhao Zhang

CoRR, March, 2026

2025

Data Mixing Can Induce Phase Transitions in Knowledge Acquisition.

Xinran Gu, Kaifeng Lyu, Jiazheng Li, Jingzhao Zhang

CoRR, May, 2025

2024

Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates.

Kaifeng Lyu, Haoyu Zhao, Xinran Gu, Dingli Yu, Anirudh Goyal, Sanjeev Arora

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

A Quadratic Synchronization Rule for Distributed Deep Learning.

Xinran Gu, Kaifeng Lyu, Sanjeev Arora, Jingzhao Zhang, Longbo Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Why (and When) does Local SGD Generalize Better than SGD?

Xinran Gu, Kaifeng Lyu, Longbo Huang, Sanjeev Arora

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Fast Federated Learning in the Presence of Arbitrary Device Unavailability.

Xinran Gu, Kaixuan Huang, Jingzhao Zhang, Longbo Huang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Predicting the Length of Stay of Patients in Hospitals.

Zhiwei Fu, Xinran Gu, Jia Fu, Mojtaba Moattari, Farhana H. Zulkernine

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021