Chengbing Wang

According to our database, Chengbing Wang authored at least 8 papers between 2022 and 2026.

Collaborative distances:

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

2026

AlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment.

Jianfei Xiao, Xiang Yu, Chengbing Wang, Wuqiang Zheng, Xinyu Lin, Kaining Liu, Hongxun Ding, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

CoRR, March, 2026

PERM: Psychology-grounded Empathetic Reward Modeling for Large Language Models.

Chengbing Wang, Wuqiang Zheng, Yang Zhang, Fengbin Zhu, Junyi Cheng, Yi Xie, Wenjie Wang, Fuli Feng

CoRR, January, 2026

2025

Think-While-Generating: On-the-Fly Reasoning for Personalized Long-Form Generation.

Chengbing Wang, Yang Zhang, Wenjie Wang, Xiaoyan Zhao, Fuli Feng, Xiangnan He, Tat-Seng Chua

CoRR, December, 2025

Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation.

Chengbing Wang, Yang Zhang, Fengbin Zhu, Jizhi Zhang, Tianhao Shi, Fuli Feng

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Debias Can Be Unreliable: Mitigating Bias in Evaluating Debiasing Recommendation.

Chengbing Wang, Wentao Shi, Jizhi Zhang, Wenjie Wang, Hang Pan, Fuli Feng

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation.

Chengbing Wang, Yang Zhang, Zhicheng Wang, Tianhao Shi, Keqin Bao, Fuli Feng, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation.

Chengbing Wang, Wentao Shi, Jizhi Zhang, Wenjie Wang, Hang Pan, Fuli Feng

CoRR, 2024

2022

Multi-directional Knowledge Transfer for Few-Shot Learning.

Shuo Wang, Xinyu Zhang, Yanbin Hao, Chengbing Wang, Xiangnan He

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022