Yicheng Chen - RankMe

27 papers A 2Misc 2Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Failure to Mastery: Generating Hard Samples for Tool-use Agents. CoRR 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
2026	J	`jnl`	Function Calling in Large Language Models: Industrial Practices, Challenges, and Future Directions. ACM Comput. Surv. Maolin Wang, Yingyi Zhang, Bowen Yu, Bingguang Hao, Cunyin Peng, Yicheng Chen, Wei Zhou, Jinjie Gu, Chenyi Zhuang, Ruocheng Guo, Wanyu Wang, Xiangyu Zhao
2025	J	`jnl`	A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future. CoRR Jialun Zhong, Wei Shen, Yanzeng Li, Songyang Gao, Hua Lu, Yicheng Chen, Yang Zhang, Wei Zhou, Jinjie Gu, Lei Zou
2025	J	`jnl`	Exploring Superior Function Calls via Reinforcement Learning. CoRR Bingguang Hao, Maolin Wang, Zengzhuang Xu, Yicheng Chen, Cunyin Peng, Jinjie Gu, Chenyi Zhuang
2025	J	`jnl`	FunReason-MT Technical Report: Overcoming the Complexity Barrier in Multi-Turn Function Calling. CoRR 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
2025	J	`jnl`	FunReason: Enhancing Large Language Models' Function Calling via Self-Refinement Multiscale Loss and Automated Data Refinement. CoRR Bingguang Hao, Maolin Wang, Zengzhuang Xu, Cunyin Peng, Yicheng Chen, Xiangyu Zhao, Jinjie Gu, Chenyi Zhuang
2024	—	`conf`	Are LLM-based Evaluators Confusing NLG Quality Criteria? ACL (1) Xinyu Hu, Mingqi Gao, Sen Hu, Yang Zhang, Yicheng Chen, Teng Xu, Xiaojun Wan
2024	J	`jnl`	Are LLM-based Evaluators Confusing NLG Quality Criteria? CoRR Xinyu Hu, Mingqi Gao, Sen Hu, Yang Zhang, Yicheng Chen, Teng Xu, Xiaojun Wan
2023	—	`conf`	AdapterDistillation: Non-Destructive Task Composition with Knowledge Distillation. EMNLP (Industry Track) Junjie Wang, Yicheng Chen, Wangshu Zhang, Sen Hu, Teng Xu, Jing Zheng
2023	J	`jnl`	AdapterDistillation: Non-Destructive Task Composition with Knowledge Distillation. CoRR Junjie Wang, Yicheng Chen, Wangshu Zhang, Sen Hu, Teng Xu, Jing Zheng
2023	J	`jnl`	From Beginner to Expert: Modeling Medical Knowledge into General LLMs. CoRR 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
2023	A	`conf`	Read Key Points: Dialogue-Grounded Knowledge Points Generation with Multi-Level Salience-Aware Mixture. ECAI Sen Zhang, Baokui Li, Wangshu Zhang, Changlin Yang, Yicheng Chen, Sen Hu, Teng Xu, Jiwei Li
2023	A	`conf`	S2M: Converting Single-Turn to Multi-Turn Datasets for Conversational Question Answering. ECAI Baokui Li, Sen Zhang, Wangshu Zhang, Yicheng Chen, Changlin Yang, Sen Hu, Teng Xu, Siye Liu, Jiwei Li
2023	J	`jnl`	S2M: Converting Single-Turn to Multi-Turn Datasets for Conversational Question Answering. CoRR Baokui Li, Sen Zhang, Wangshu Zhang, Yicheng Chen, Changlin Yang, Sen Hu, Teng Xu, Siye Liu, Jiwei Li
2022	Misc	`conf`	Communication Efficient Federated Learning via Ordered ADMM in a Fully Decentralized Setting. CISS Yicheng Chen, Rick S. Blum, Brian M. Sadler
2022	J	`jnl`	Communication Efficient Federated Learning via Ordered ADMM in a Fully Decentralized Setting. CoRR Yicheng Chen, Rick S. Blum, Brian M. Sadler
2022	J	`jnl`	Communication-Efficient Federated Learning Using Censored Heavy Ball Descent. IEEE Trans. Signal Inf. Process. over Networks Yicheng Chen, Rick S. Blum, Brian M. Sadler
2022	J	`jnl`	Communication-Efficient {Federated} Learning Using Censored Heavy Ball Descent. CoRR Yicheng Chen, Rick S. Blum, Brian M. Sadler
2022	J	`jnl`	Distributed Learning With Sparsified Gradient Differences. CoRR Yicheng Chen, Rick S. Blum, Martin Takác, Brian M. Sadler
2022	J	`jnl`	Distributed Learning With Sparsified Gradient Differences. IEEE J. Sel. Top. Signal Process. Yicheng Chen, Rick S. Blum, Martin Takác, Brian M. Sadler
2021	J	`jnl`	Ordering for Communication-Efficient Quickest Change Detection in a Decomposable Graphical Model. IEEE Trans. Signal Process. Yicheng Chen, Rick S. Blum, Brian M. Sadler
2020	—	`conf`	Optimal Quickest Change Detection in Sensor Networks Using Ordered Transmissions. SPAWC Yicheng Chen, Rick S. Blum, Brian M. Sadler
2020	—	`conf`	Ordered Gradient Approach for Communication-Efficient Distributed Learning. SPAWC Yicheng Chen, Brian M. Sadler, Rick S. Blum
2019	J	`jnl`	On the Impact of Unknown Signals on Delay, Doppler, Amplitude, and Phase Parameter Estimation. IEEE Trans. Signal Process. Yicheng Chen, Rick S. Blum
2019	J	`jnl`	Testing the Structure of a Gaussian Graphical Model With Reduced Transmissions in a Distributed Setting. IEEE Trans. Signal Process. Yicheng Chen, Rick S. Blum, Brian M. Sadler, Jiangfan Zhang
2018	Misc	`conf`	Ordered Transmission for Efficient Wireless Autonomy. ACSSC Yicheng Chen, Brian M. Sadler, Rick S. Blum
2017	J	`jnl`	Signal Restoration Combining Modified Tikhonov Regularization and Preconditioning Technology. IEEE Access Hong-Xia Dou, Hou-Biao Li, Qingyu Fan, Yicheng Chen