Chengyuan Yao

According to our database, Chengyuan Yao authored at least 19 papers between 2020 and 2026.

Collaborative distances:

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

2026

EDM-ARS: A Domain-Specific Multi-Agent System for Automated Educational Data Mining Research.

Chenguang Pan, Zhou Zhang, Weixuan Xiao, Chengyuan Yao

CoRR, March, 2026

PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and Engineering.

Xiangfeng Wang, Hangyu Guo, Yanlin Lai, Mitt Huang, Liang Zhao, Chengyuan Yao, Yinmin Zhang, Qi Han, Xiaoxiao Ren, Chun Yuan, Tong Xu, Zheng Ge, Xiangyu Zhang, Daxin Jiang

CoRR, February, 2026

R-Align: Enhancing Generative Reward Models through Rationale-Centric Meta-Judging.

Yanlin Lai, Mitt Huang, Hangyu Guo, Xiangfeng Wang, Haodong Li, Shaoxiong Zhan, Liang Zhao, Chengyuan Yao, Yinmin Zhang, Qi Han, Chun Yuan, Zheng Ge, Xiangyu Zhang, Daxin Jiang

CoRR, February, 2026

STEP3-VL-10B Technical Report.

Ailin Huang, Chengyuan Yao, Chunrui Han, Fanqi Wan, Multimodal Intelligence Team, StepFun, Jianjian Sun, Jingcheng Hu, Kangheng Lin, Liang Zhao, Mitt Huang, Song Yuan, Wenwen Qu, Xiangfeng Wang, Yanlin Lai, Yingxiu Zhao, Yinmin Zhang, Yukang Shi, Yuyang Chen, Zejia Weng, Ziyang Meng, Ang Li, Aobo Kong, Bo Dong

CoRR, January, 2026

PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning.

Jingcheng Hu, Yinmin Zhang, Shijie Shang, Xiaobo Yang, Yue Peng, Zhewei Huang, Hebin Zhou, Xin Wu, Jie Cheng, Fanqi Wan, Xiangwen Kong, Chengyuan Yao, Kaiwen Yan, Ailin Huang, Hongyu Zhou, Qi Han, Zheng Ge, Daxin Jiang, Xiangyu Zhang, Heung-Yeung Shum

CoRR, January, 2026

Asynchronous Discussion Forums Show More Analytical but Less Diverse Student Engagement in the Age of AI.

Zhen Xu, Yijun Dai, Chenxi Shi, Siyan Li, Chengyuan Yao, Renzhe Yu

Proceedings of the Thirteenth ACM Conference on Learning @ Scale, 2026

Calibrating Social Bias in LLM and Human Responses in Postsecondary Online Discussion Forums.

Daniel March, Zhen Xu, Chengyuan Yao, Renzhe Yu

Proceedings of the Thirteenth ACM Conference on Learning @ Scale, 2026

PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and Engineering.

Xiangfeng Wang, Hangyu Guo, Yanlin Lai, Mitt Huang, Liang Zhao, Chengyuan Yao, Yinmin Zhang, Qi Han, Xiaoxiao Ren, Chun Yuan, Tong Xu, Zheng Ge, Xiangyu Zhang, Daxin Jiang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning.

Jingcheng Hu, Yinmin Zhang, Shijie Shang, Xiaobo Yang, Yue Peng, Zhewei Huang, Hebin Zhou, Xin Wu, Jie Cheng, Fanqi Wan, Xiangwen Kong, Chengyuan Yao, Kaiwen Yan, Ailin Huang, Hongyu Zhou, Qi Han, Zheng Ge, Xiangyu Zhang, Heung-Yeung Shum

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Step-Audio-R1 Technical Report.

Fei Tian, Xiangyu Tony Zhang, Yuxin Zhang, Haoyang Zhang, Yuxin Li, Daijiao Liu, Yayue Deng, Donghang Wu, Jun Chen, Liang Zhao, Chengyuan Yao, Hexin Liu, Eng Siong Chng, Xuerui Yang, Xiangyu Zhang, Daxin Jiang, Gang Yu

CoRR, November, 2025

When the Past Misleads: Rethinking Training Data Expansion Under Temporal Distribution Shifts.

Chengyuan Yao, Yunxuan Tang, Christopher Brooks, René F. Kizilcec, Renzhe Yu

CoRR, September, 2025

Reward Shaping to Mitigate Reward Hacking in RLHF.

Jiayi Fu, Xuandong Zhao, Chengyuan Yao, Heng Wang, Qi Han, Yanghua Xiao

CoRR, February, 2025

Towards Fair and Privacy-Aware Transfer Learning for Educational Predictive Modeling: A Case Study on Retention Prediction in Community Colleges.

Chengyuan Yao, Carmen Cortez, Renzhe Yu

Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

Understanding Predictive Models of Student Success with a Multiverse Analysis.

Yunxuan Tang, Emma Harvey, Chengyuan Yao, Renzhe Yu, René F. Kizilcec, Christopher Brooks

Proceedings of the 18th International Conference on Educational Data Mining, 2025

2024

Technology-Based Instructional Strategies Show Promise in Improving Self-Regulated Learning Skills at Broad-Access Postsecondary Institutions.

Renzhe Yu, Hui Yang, Xiaoying Lin, Chengyuan Yao, Paul Burkander, Krystal Thomas, Jessica Mislevy

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

2023

Improving Robust Fariness via Balance Adversarial Training.

Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Improving Robust Fairness via Balance Adversarial Training.

Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu

CoRR, 2022

2021

Automated Discovery of Adaptive Attacks on Adversarial Defenses.

Chengyuan Yao, Pavol Bielik, Petar Tsankov, Martin T. Vechev

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

2020

Deep Learning for Post-Processing Ensemble Weather Forecasts.

Peter Grönquist, Chengyuan Yao, Tal Ben-Nun, Nikoli Dryden, Peter Dueben, Shigang Li, Torsten Hoefler

CoRR, 2020