Yicheng Chen

According to our database, Yicheng Chen authored at least 21 papers between 2017 and 2026.

Collaborative distances:

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

2026

Function Calling in Large Language Models: Industrial Practices, Challenges, and Future Directions.

Maolin Wang, Yingyi Zhang, Bowen Yu, Bingguang Hao, Cunyin Peng, Yicheng Chen, Wei Zhou, Jinjie Gu, Chenyi Zhuang, Ruocheng Guo, Wanyu Wang, Xiangyu Zhao

ACM Comput. Surv., July, 2026

From Failure to Mastery: Generating Hard Samples for Tool-use Agents.

Bingguang Hao, Zengzhuang Xu, Yuntao Wen, Xinyi Xu, Yang Liu, Tong Zhao, Maolin Wang, Long Chen, Dong Wang, Yicheng Chen, Cunyin Peng, Xiangyu Zhao, Chenyi Zhuang, Ji Zhang

CoRR, January, 2026

2025

FunReason-MT Technical Report: Overcoming the Complexity Barrier in Multi-Turn Function Calling.

Zengzhuang Xu, Bingguang Hao, Zechuan Wang, Yuntao Wen, Maolin Wang, Yang Liu, Long Chen, Dong Wang, Yicheng Chen, Cunyin Peng, Chenyi Zhuang, Jinjie Gu, Leilei Gan, Xiangyu Zhao, Shi Gu

CoRR, October, 2025

Exploring Superior Function Calls via Reinforcement Learning.

Bingguang Hao, Maolin Wang, Zengzhuang Xu, Yicheng Chen, Cunyin Peng, Jinjie Gu, Chenyi Zhuang

CoRR, August, 2025

FunReason: Enhancing Large Language Models' Function Calling via Self-Refinement Multiscale Loss and Automated Data Refinement.

Bingguang Hao, Maolin Wang, Zengzhuang Xu, Cunyin Peng, Yicheng Chen, Xiangyu Zhao, Jinjie Gu, Chenyi Zhuang

CoRR, May, 2025

A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future.

Jialun Zhong, Wei Shen, Yanzeng Li, Songyang Gao, Hua Lu, Yicheng Chen, Yang Zhang, Wei Zhou, Jinjie Gu, Lei Zou

CoRR, April, 2025

2024

Are LLM-based Evaluators Confusing NLG Quality Criteria?

Xinyu Hu, Mingqi Gao, Sen Hu, Yang Zhang, Yicheng Chen, Teng Xu, Xiaojun Wan

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

From Beginner to Expert: Modeling Medical Knowledge into General LLMs.

Qiang Li, Xiaoyan Yang, Haowen Wang, Qin Wang, Lei Liu, Junjie Wang, Yang Zhang, Mingyuan Chu, Sen Hu, Yicheng Chen, Yue Shen, Cong Fan, Wangshu Zhang, Teng Xu, Jinjie Gu, Jing Zheng, Guannan Zhang

CoRR, 2023

AdapterDistillation: Non-Destructive Task Composition with Knowledge Distillation.

Junjie Wang, Yicheng Chen, Wangshu Zhang, Sen Hu, Teng Xu, Jing Zheng

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Read Key Points: Dialogue-Grounded Knowledge Points Generation with Multi-Level Salience-Aware Mixture.

Sen Zhang, Baokui Li, Wangshu Zhang, Changlin Yang, Yicheng Chen, Sen Hu, Teng Xu, Jiwei Li

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

S2M: Converting Single-Turn to Multi-Turn Datasets for Conversational Question Answering.

Baokui Li, Sen Zhang, Wangshu Zhang, Yicheng Chen, Changlin Yang, Sen Hu, Teng Xu, Siye Liu, Jiwei Li

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Communication-Efficient Federated Learning Using Censored Heavy Ball Descent.

Yicheng Chen, Rick S. Blum, Brian M. Sadler

IEEE Trans. Signal Inf. Process. over Networks, 2022

Distributed Learning With Sparsified Gradient Differences.

Yicheng Chen, Rick S. Blum, Martin Takác, Brian M. Sadler

IEEE J. Sel. Top. Signal Process., 2022

Communication Efficient Federated Learning via Ordered ADMM in a Fully Decentralized Setting.

Yicheng Chen, Rick S. Blum, Brian M. Sadler

Proceedings of the 56th Annual Conference on Information Sciences and Systems, 2022

2021

Ordering for Communication-Efficient Quickest Change Detection in a Decomposable Graphical Model.

Yicheng Chen, Rick S. Blum, Brian M. Sadler

IEEE Trans. Signal Process., 2021

2020

Ordered Gradient Approach for Communication-Efficient Distributed Learning.

Yicheng Chen, Brian M. Sadler, Rick S. Blum

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Optimal Quickest Change Detection in Sensor Networks Using Ordered Transmissions.

Yicheng Chen, Rick S. Blum, Brian M. Sadler

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

2019

Testing the Structure of a Gaussian Graphical Model With Reduced Transmissions in a Distributed Setting.

Yicheng Chen, Rick S. Blum, Brian M. Sadler, Jiangfan Zhang

IEEE Trans. Signal Process., 2019

On the Impact of Unknown Signals on Delay, Doppler, Amplitude, and Phase Parameter Estimation.

Yicheng Chen, Rick S. Blum

IEEE Trans. Signal Process., 2019

2018

Ordered Transmission for Efficient Wireless Autonomy.

Yicheng Chen, Brian M. Sadler, Rick S. Blum

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Signal Restoration Combining Modified Tikhonov Regularization and Preconditioning Technology.

Hong-Xia Dou, Hou-Biao Li, Qingyu Fan, Yicheng Chen

IEEE Access, 2017