Chaoqi Wang

According to our database, Chaoqi Wang authored at least 23 papers between 2017 and 2026.

Collaborative distances:

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

2026

Simultaneous identification of a contamination source and hydraulic conductivity based on a multimodal direct forward machine learning model.

Yan Zhu, Zhi Dou, Chaoqi Wang, Meng Chen, Yun Yang, Jinguo Wang

Environ. Model. Softw., 2026

2025

Grounded Persuasive Language Generation for Automated Marketing.

Jibang Wu, Chenghao Yang, Simon Mahns, Chaoqi Wang, Hao Zhu, Fei Fang, Haifeng Xu

CoRR, February, 2025

Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment.

Chaoqi Wang, Zhuokai Zhao, Yibo Jiang, Zhaorun Chen, Chen Zhu, Yuxin Chen, Jiayi Liu, Lizhu Zhang, Xiangjun Fan, Hao Ma, Sinong Wang

CoRR, January, 2025

2024

Radar Target Radar Cross-Section Measurement Based on Enhanced Imaging and Scattering Center Extraction.

Xin Tan, Chaoqi Wang, Yang Fang, Bai Wu, Dongyan Zhao, Jiansheng Hu

Sensors, October, 2024

Target imaging technology of wireless orbital communication radar.

Xin Tan, Chaoqi Wang, Mingwei Wang, Wenyuan Liu, Xianghui Wang

Int. J. Grid Util. Comput., 2024

GRAPE: Generalizing Robot Policy via Preference Alignment.

Zijian Zhang, Kaiyuan Zheng, Zhaorun Chen, Joel Jang, Yi Li, Chaoqi Wang, Mingyu Ding, Dieter Fox, Huaxiu Yao

CoRR, 2024

Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following.

Yun He, Di Jin, Chaoqi Wang, Chloe Bi, Karishma Mandyam, Hejia Zhang, Chen Zhu, Ning Li, Tengyu Xu, Hongjiang Lv, Shruti Bhosale, Chenguang Zhu, Karthik Abinav Sankararaman, Eryk Helenowski, Melanie Kambadur, Aditya Tayade, Hao Ma, Han Fang, Sinong Wang

CoRR, 2024

Preference Optimization with Multi-Sample Comparisons.

Chaoqi Wang, Zhuokai Zhao, Chen Zhu, Karthik Abinav Sankararaman, Michal Valko, Xuefei Cao, Zhaorun Chen, Madian Khabsa, Yuxin Chen, Hao Ma, Sinong Wang

CoRR, 2024

MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?

Zhaorun Chen, Yichao Du, Zichen Wen, Yiyang Zhou, Chenhang Cui, Zhenzhen Weng, Haoqin Tu, Chaoqi Wang, Zhengwei Tong, Qinglan Huang, Canyu Chen, Qinghao Ye, Zhihong Zhu, Yuqing Zhang, Jiawei Zhou, Zhuokai Zhao, Rafael Rafailov, Chelsea Finn, Huaxiu Yao

CoRR, 2024

Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints.

Chaoqi Wang, Yibo Jiang, Chenghao Yang, Han Liu, Yuxin Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Don't Be Pessimistic Too Early: Look K Steps Ahead!

Chaoqi Wang, Ziyu Ye, Kevin Murphy, Yuxin Chen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Model-based Policy Optimization under Approximate Bayesian Inference.

Chaoqi Wang, Yuxin Chen, Kevin Murphy

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts.

Chaoqi Wang, Ziyu Ye, Zhe Feng, Ashwinkumar Badanidiyuru Varadaraja, Haifeng Xu

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

Active Policy Improvement from Multiple Black-box Oracles.

Xuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew R. Walter, Yuxin Chen

Proceedings of the International Conference on Machine Learning, 2023

2021

Teaching an Active Learner with Contrastive Examples.

Chaoqi Wang, Adish Singla, Yuxin Chen

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

Research on Intelligent Question Answering algorithm based on machine learning.

Lei Sun, Xiwei Feng, Pengcheng Hua, Chi Zhao, Chaoqi Wang, Wei Hou

Proceedings of the EITCE 2021: 5th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, October 22, 2021

Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?

Chaoqi Wang, Shengyang Sun, Roger B. Grosse

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Picking Winning Tickets Before Training by Preserving Gradient Flow.

Chaoqi Wang, Guodong Zhang, Roger B. Grosse

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

A Literature Review: Geometric Methods and Their Applications in Human-Related Analysis.

Wenjuan Gong, Bin Zhang, Chaoqi Wang, Hanbing Yue, Chuantao Li, Linjie Xing, Yu Qiao, Weishan Zhang, Faming Gong

Sensors, 2019

EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis.

Chaoqi Wang, Roger B. Grosse, Sanja Fidler, Guodong Zhang

Proceedings of the 36th International Conference on Machine Learning, 2019

Three Mechanisms of Weight Decay Regularization.

Guodong Zhang, Chaoqi Wang, Bowen Xu, Roger B. Grosse

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Differentiable Compositional Kernel Learning for Gaussian Processes.

Shengyang Sun, Guodong Zhang, Chaoqi Wang, Wenyuan Zeng, Jiaman Li, Roger B. Grosse

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

A Revisit on Deep Hashings for Large-scale Content Based Image Retrieval.

Deng Cai, Xiuye Gu, Chaoqi Wang

CoRR, 2017