Hengrui Cai

According to our database, Hengrui Cai authored at least 27 papers between 2020 and 2026.

Collaborative distances:

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

2026

Reasoning Is Not Free: Robust Adaptive Cost-Efficient Routing for LLM-as-a-Judge.

Wenbo Zhang, Lijinghua Zhang, Liner Xiang, Hengrui Cai

CoRR, May, 2026

Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models.

Haitao Jiang, Wenbo Zhang, Jiarui Yao, Hengrui Cai, Sheng Wang, Rui Song

CoRR, March, 2026

PABU: Progress-Aware Belief Update for Efficient LLM Agents.

Haitao Jiang, Lin Ge, Hengrui Cai, Rui Song

CoRR, February, 2026

A Review of Causal Decision Making.

Lin Ge, Hengrui Cai, Runzhe Wan, Yang Xu, Rui Song

J. Artif. Intell. Res., 2026

2025

Text Rationalization for Robust Causal Effect Estimation.

Lijinghua Zhang, Hengrui Cai

CoRR, December, 2025

Foresighted Online Policy Optimization with Interference.

Liner Xiang, Jiayi Wang, Hengrui Cai

CoRR, October, 2025

Correct Reasoning Paths Visit Shared Decision Pivots.

Dongkyu Cho, Amy B. Z. Zhang, Bilel Fehri, Sheng Wang, Rumi Chunara, Rui Song, Hengrui Cai

CoRR, September, 2025

Beyond the Singular: The Essential Role of Multiple Generations in Effective Benchmark Evaluation and Analysis.

Wenbo Zhang, Hengrui Cai, Wenyu Chen

CoRR, February, 2025

Where to Intervene: Action Selection in Deep Reinforcement Learning.

Wenbo Zhang, Hengrui Cai

Trans. Mach. Learn. Res., 2025

Recognizing Limits: Investigating Infeasibility in Large Language Models.

Wenbo Zhang, Zihang Xu, Hengrui Cai

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Defining Boundaries: A Spectrum of Task Feasibility for Large Language Models.

Wenbo Zhang, Zihang Xu, Hengrui Cai

CoRR, 2024

Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference.

Hengrui Cai, Huaqing Jin, Lexin Li

CoRR, 2024

Is Knowledge All Large Language Models Needed for Causal Reasoning?

Hengrui Cai, Shengjie Liu, Rui Song

CoRR, 2024

2023

Jump Interval-Learning for Individualized Decision Making with Continuous Treatments.

Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu

J. Mach. Learn. Res., 2023

Sequential Knockoffs for Variable Selection in Reinforcement Learning.

Tao Ma, Hengrui Cai, Zhengling Qi, Chengchun Shi, Eric B. Laber

CoRR, 2023

On Learning Necessary and Sufficient Causal Graphs.

Hengrui Cai, Yixin Wang, Michael I. Jordan, Rui Song

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

Towards Trustworthy Explanation: On Causal Rationalization.

Wenbo Zhang, Tong Wu, Yunlong Wang, Yong Cai, Hengrui Cai

Proceedings of the International Conference on Machine Learning, 2023

On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs.

Richard A. Watson, Hengrui Cai, Xinming An, Samuel A. McLean, Rui Song

Proceedings of the International Conference on Machine Learning, 2023

2022

Heterogeneous Synthetic Learner for Panel Data.

Ye Shen, Runzhe Wan, Hengrui Cai, Rui Song

CoRR, 2022

2021

Jump Interval-Learning for Individualized Decision Making.

Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu

CoRR, 2021

Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning.

Hengrui Cai, Ye Shen, Rui Song

CoRR, 2021

CAPITAL: Optimal Subgroup Identification via Constrained Policy Tree Search.

Hengrui Cai, Wenbin Lu, Rachel Marceau West, Devan V. Mehrotra, Lingkang Huang

CoRR, 2021

Periodic-GP: Learning Periodic World with Gaussian Process Bandits.

Hengrui Cai, Zhihao Cen, Ling Leng, Rui Song

CoRR, 2021

Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings.

Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu

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

ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning.

Hengrui Cai, Rui Song, Wenbin Lu

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Deep Jump Q-Evaluation for Offline Policy Evaluation in Continuous Action Space.

Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu

CoRR, 2020

On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies.

Hengrui Cai, Wenbin Lu, Rui Song

Proceedings of the 37th International Conference on Machine Learning, 2020