Jinfeng Zhou

According to our database, Jinfeng Zhou authored at least 20 papers between 2021 and 2024.

Collaborative distances:

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

2024

High-speed parallel segmentation algorithms of MeanShift for litchi canopies based on Spark and Hadoop.

Hongyi Xiong, Jianhua Wang, Yiming Xiao, Fangjun Xiao, Renhuang Huang, Licong Hong, Bofei Wu, Jinfeng Zhou, Yongbin Long, Yubin Lan

Int. J. Model. Simul. Sci. Comput., June, 2024

CharacterBench: Benchmarking Character Customization of Large Language Models.

Jinfeng Zhou, Yongkang Huang, Bosi Wen, Guanqun Bi, Yuxuan Chen, Pei Ke, Zhuang Chen, Xiyao Xiao, Libiao Peng, Kuntian Tang, Rongsheng Zhang, Le Zhang, Tangjie Lv, Zhipeng Hu, Hongning Wang, Minlie Huang

CoRR, 2024

Benchmarking Complex Instruction-Following with Multiple Constraints Composition.

Bosi Wen, Pei Ke, Xiaotao Gu, Lindong Wu, Hao Huang, Jinfeng Zhou, Wenchuang Li, Binxin Hu, Wendy Gao, Jiaxin Xu, Yiming Liu, Jie Tang, Hongning Wang, Minlie Huang

CoRR, 2024

EmoBench: Evaluating the Emotional Intelligence of Large Language Models.

Sahand Sabour, Siyang Liu, Zheyuan Zhang, June M. Liu, Jinfeng Zhou, Alvionna S. Sunaryo, Juanzi Li, Tatia M. C. Lee, Rada Mihalcea, Minlie Huang

CoRR, 2024

Depression Detection in Clinical Interviews with LLM-Empowered Structural Element Graph.

Zhuang Chen, Jiawen Deng, Jinfeng Zhou, Jincenzi Wu, Tieyun Qian, Minlie Huang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

CharacterGLM: Customizing Social Characters with Large Language Models.

Jinfeng Zhou, Zhuang Chen, Dazhen Wan, Bosi Wen, Yi Song, Jifan Yu, Yongkang Huang, Pei Ke, Guanqun Bi, Libiao Peng, Jiaming Yang, Xiyao Xiao, Sahand Sabour, Xiaohan Zhang, Wenjing Hou, Yijia Zhang, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

EmoBench: Evaluating the Emotional Intelligence of Large Language Models.

Sahand Sabour, Siyang Liu, Zheyuan Zhang, June M. Liu, Jinfeng Zhou, Alvionna S. Sunaryo, Tatia M. C. Lee, Rada Mihalcea, Minlie Huang

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

ToMBench: Benchmarking Theory of Mind in Large Language Models.

Zhuang Chen, Jincenzi Wu, Jinfeng Zhou, Bosi Wen, Guanqun Bi, Gongyao Jiang, Yaru Cao, Mengting Hu, Yunghwei Lai, Zexuan Xiong, Minlie Huang

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

2023

Position-Wise Gated Res2Net-Based Convolutional Network with Selective Fusing for Sentiment Analysis.

Jinfeng Zhou, Xiaoqin Zeng, Yang Zou, Haoran Zhu

Entropy, 2023

CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models.

Jinfeng Zhou, Zhuang Chen, Dazhen Wan, Bosi Wen, Yi Song, Jifan Yu, Yongkang Huang, Libiao Peng, Jiaming Yang, Xiyao Xiao, Sahand Sabour, Xiaohan Zhang, Wenjing Hou, Yijia Zhang, Yuxiao Dong, Jie Tang, Minlie Huang

CoRR, 2023

A fast compact difference scheme with unequal time-steps for the tempered time-fractional Black-Scholes model.

Jinfeng Zhou, Xian-Ming Gu, Jinye Shen, Yong-Liang Zhao, Hu Li

CoRR, 2023

CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation.

Jinfeng Zhou, Chujie Zheng, Bo Wang, Zheng Zhang, Minlie Huang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach.

Jinfeng Zhou, Zhuang Chen, Bo Wang, Minlie Huang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Fabric defect classification using prototypical network of few-shot learning algorithm.

Zhu Zhan, Jinfeng Zhou, Bugao Xu

Comput. Ind., 2022

Aligning Recommendation and Conversation via Dual Imitation.

Jinfeng Zhou, Bo Wang, Minlie Huang, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CDConv: A Benchmark for Contradiction Detection in Chinese Conversations.

Chujie Zheng, Jinfeng Zhou, Yinhe Zheng, Libiao Peng, Zhen Guo, Wenquan Wu, Zheng-Yu Niu, Hua Wu, Minlie Huang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CR-GIS: Improving Conversational Recommendation via Goal-aware Interest Sequence Modeling.

Jinfeng Zhou, Bo Wang, Zhitong Yang, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou

Proceedings of the 29th International Conference on Computational Linguistics, 2022

TopKG: Target-oriented Dialog via Global Planning on Knowledge Graph.

Zhitong Yang, Bo Wang, Jinfeng Zhou, Yue Tan, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

A Study on the New Mode of Traditional Music Cross-cultural Transmission via the Internet.

Jinfeng Zhou

Proceedings of the ICACS '21: 2021 The 5th International Conference on Algorithms, Computing and Systems, Xi'an, China, September 24, 2021

CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs.

Jinfeng Zhou, Bo Wang, Ruifang He, Yuexian Hou

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021