Yanxi Chen

According to our database, Yanxi Chen authored at least 24 papers between 2018 and 2026.

Collaborative distances:

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

2026

SeeUPO: Sequence-Level Agentic-RL with Convergence Guarantees.

Tianyi Hu, Qingxu Fu, Yanxi Chen, Zhaoyang Liu, Bolin Ding

CoRR, February, 2026

On the Entropy Dynamics in Reinforcement Fine-Tuning of Large Language Models.

Shumin Wang, Yuexiang Xie, Wenhao Zhang, Yuchang Sun, Yanxi Chen, Yaliang Li, Yanyong Zhang

CoRR, February, 2026

R³L: Reflect-then-Retry Reinforcement Learning with Language-Guided Exploration, Pivotal Credit, and Positive Amplification.

Weijie Shi, Yanxi Chen, Zexi Li, Xuchen Pan, Yuchang Sun, Jiajie Xu, Xiaofang Zhou, Yaliang Li

CoRR, January, 2026

2025

Group-Relative REINFORCE Is Secretly an Off-Policy Algorithm: Demystifying Some Myths About GRPO and Its Friends.

Chaorui Yao, Yanxi Chen, Yuchang Sun, Yushuo Chen, Wenhao Zhang, Xuchen Pan, Yaliang Li, Bolin Ding

CoRR, September, 2025

On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting.

Wenhao Zhang, Yuexiang Xie, Yuchang Sun, Yanxi Chen, Guoyin Wang, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, August, 2025

Trinity-RFT: A General-Purpose and Unified Framework for Reinforcement Fine-Tuning of Large Language Models.

Xuchen Pan, Yanxi Chen, Yushuo Chen, Yuchang Sun, Daoyuan Chen, Wenhao Zhang, Yuexiang Xie, Yilun Huang, Yilei Zhang, Dawei Gao, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, May, 2025

Enhancing Latent Computation in Transformers with Latent Tokens.

Yuchang Sun, Yanxi Chen, Yaliang Li, Bolin Ding

CoRR, May, 2025

Designing Algorithms Empowered by Language Models: An Analytical Framework, Case Studies, and Insights.

Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou

Trans. Mach. Learn. Res., 2025

Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods.

Gen Li, Yanxi Chen, Yu Huang, Yuejie Chi, H. Vincent Poor, Yuxin Chen

SIAM J. Optim., 2025

Provable Scaling Laws for the Test-Time Compute of Large Language Models.

Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Differentially Private Sketch-and-Solve for Community Detection via Semidefinite Programming.

Mohamed Seif, Yanxi Chen, Andrea J. Goldsmith, H. Vincent Poor

IEEE J. Sel. Areas Inf. Theory, 2024

A Simple and Provable Scaling Law for the Test-Time Compute of Large Language Models.

Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2024

On the Design and Analysis of LLM-Based Algorithms.

Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2024

Clustering Mixtures of Discrete Distributions: A Note on Mitra's Algorithm.

Mohamed Seif, Yanxi Chen

CoRR, 2024

EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models.

Xuchen Pan, Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2024

EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism.

Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou

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

2023

Machine Learning and Optimization with Latent Variables.

Yanxi Chen

PhD thesis, 2023

Ranking from Pairwise Comparisons in General Graphs and Graphs with Locality.

Yanxi Chen

CoRR, 2023

Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods.

Gen Li, Yanxi Chen, Yuejie Chi, H. Vincent Poor, Yuxin Chen

CoRR, 2023

2022

Learning Mixtures of Linear Dynamical Systems.

Yanxi Chen, H. Vincent Poor

Proceedings of the International Conference on Machine Learning, 2022

2021

Learning Mixtures of Low-Rank Models.

Yanxi Chen, Cong Ma, H. Vincent Poor, Yuxin Chen

IEEE Trans. Inf. Theory, 2021

2018

Active Orthogonal Matching Pursuit for Sparse Subspace Clustering.

Yanxi Chen, Gen Li, Yuantao Gu

IEEE Signal Process. Lett., 2018

Subspace Change-Point Detection: A New Model and Solution.

Yuchen Jiao, Yanxi Chen, Yuantao Gu

IEEE J. Sel. Top. Signal Process., 2018

Change-Point Detection of Gaussian Graph Signals with Partial Information.

Yanxi Chen, Xianghui Mao, Dan Ling, Yuantao Gu

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018