Bolian Li

According to our database, Bolian Li authored at least 16 papers between 2021 and 2025.

Collaborative distances:

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

2025

Structure-R1: Dynamically Leveraging Structural Knowledge in LLM Reasoning through Reinforcement Learning.

Junlin Wu, Xianrui Zhong, Jiashuo Sun, Bolian Li, Bowen Jin, Jiawei Han, Qingkai Zeng

CoRR, October, 2025

DRIFT: Learning from Abundant User Dissatisfaction in Real-World Preference Learning.

Yifan Wang, Bolian Li, Junlin Wu, Zhaoxuan Tan, Zheli Liu, Ruqi Zhang, Ananth Grama, Qingkai Zeng

CoRR, October, 2025

From Personal to Collective: On the Role of Local and Global Memory in LLM Personalization.

Zehong Wang, Junlin Wu, Zhaoxuan Tan, Bolian Li, Xianrui Zhong, Zheli Liu, Qingkai Zeng

CoRR, September, 2025

Reward-Shifted Speculative Sampling Is An Efficient Test-Time Weak-to-Strong Aligner.

Bolian Li, Yanran Wu, Xinyu Luo, Ruqi Zhang

CoRR, August, 2025

Stacey: Promoting Stochastic Steepest Descent via Accelerated ℓ_p-Smooth Nonconvex Optimization.

Xinyu Luo, Cedar Site Bai, Bolian Li, Petros Drineas, Ruqi Zhang, Brian Bullins

CoRR, June, 2025

More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment.

Yifan Wang, Runjin Chen, Bolian Li, David Cho, Yihe Deng, Ruqi Zhang, Tianlong Chen, Zhangyang Wang, Ananth Grama, Junyuan Hong

CoRR, April, 2025

Bayesian Computation in Deep Learning.

Wenlong Chen, Bolian Li, Ruqi Zhang, Yingzhen Li

CoRR, February, 2025

Making Reliable and Flexible Decisions in Long-tailed Classification.

Bolian Li, Ruqi Zhang

Trans. Mach. Learn. Res., 2025

Stacey: Promoting Stochastic Steepest Descent via Accelerated ℓp-Smooth Nonconvex Optimization.

Xinyu Luo, Site Bai, Bolian Li, Petros Drineas, Ruqi Zhang, Brian Bullins

Proceedings of the Forty-second International Conference on Machine Learning, 2025

ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time.

Yi Ding, Bolian Li, Ruqi Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Cascade Reward Sampling for Efficient Decoding-Time Alignment.

Bolian Li, Yifan Wang, Ananth Grama, Ruqi Zhang

CoRR, 2024

Entropy-MCMC: Sampling from Flat Basins with Ease.

Bolian Li, Ruqi Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Long-tailed Classification from a Bayesian-decision-theory Perspective.

Bolian Li, Ruqi Zhang

CoRR, 2023

2022

Graph Communal Contrastive Learning.

Bolian Li, Baoyu Jing, Hanghang Tong

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Trustworthy Long-Tailed Classification.

Bolian Li, Zongbo Han, Haining Li, Huazhu Fu, Changqing Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Identifying Incorrect Classifications with Balanced Uncertainty.

Bolian Li, Zige Zheng, Changqing Zhang

CoRR, 2021