Zefeng Zhang

According to our database, Zefeng Zhang authored at least 12 papers between 2024 and 2026.

Collaborative distances:

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

2026

CLEAR: Unlocking Generative Potential for Degraded Image Understanding in Unified Multimodal Models.

Xiangzhao Hao, Zefeng Zhang, Zhenyu Zhang, Linhao Yu, Yao Chen, Yiqian Zhang, Haiyun Guo, Shuohuan Wang, Yu Sun

CoRR, April, 2026

Sparse Growing Transformer: Training-Time Sparse Depth Allocation via Progressive Attention Looping.

Yao Chen, Yilong Chen, Yinqi Yang, Junyuan Shang, Zhenyu Zhang, Zefeng Zhang, Shuaiyi Nie, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang, Tingwen Liu

CoRR, March, 2026

S2CDR: Smoothing-Sharpening Process Model for Cross-Domain Recommendation.

Xiaodong Li, Juwei Yue, Xinghua Zhang, Jiawei Sheng, Wenyuan Zhang, Taoyu Su, Zefeng Zhang, Tingwen Liu

CoRR, March, 2026

S²CDR: Smoothing-Sharpening Process Model for Cross-Domain Recommendation.

Xiaodong Li, Juwei Yue, Xinghua Zhang, Jiawei Sheng, Wenyuan Zhang, Taoyu Su, Zefeng Zhang, Tingwen Liu

Proceedings of the ACM Web Conference 2026, 2026

2025

COOPER: A Unified Model for Cooperative Perception and Reasoning in Spatial Intelligence.

Zefeng Zhang, Xiangzhao Hao, Hengzhu Tang, Zhenyu Zhang, Jiawei Sheng, Xiaodong Li, Zhenyang Li, Li Gao, Daiting Shi, Dawei Yin, Tingwen Liu

CoRR, December, 2025

S1-Bench: A Simple Benchmark for Evaluating System 1 Thinking Capability of Large Reasoning Models.

Wenyuan Zhang, Shuaiyi Nie, Xinghua Zhang, Zefeng Zhang, Tingwen Liu

CoRR, April, 2025

Multi-Branch Collaborative Learning Network for Video Quality Assessment in Industrial Video Search.

Hengzhu Tang, Zefeng Zhang, Zhiping Li, Zhenyu Zhang, Xing Wu, Li Gao, Suqi Cheng, Dawei Yin

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Revealing and Mitigating the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing.

Wenyuan Zhang, Shuaiyi Nie, Jiawei Sheng, Zefeng Zhang, Xinghua Zhang, Yongquan He, Tingwen Liu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization.

Zefeng Zhang, Hengzhu Tang, Jiawei Sheng, Zhenyu Zhang, Yiming Ren, Zhenyang Li, Dawei Yin, Duohe Ma, Tingwen Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Revealing the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing.

Wenyuan Zhang, Jiawei Sheng, Shuaiyi Nie, Zefeng Zhang, Xinghua Zhang, Yongquan He, Tingwen Liu

CoRR, 2024

Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking.

Zefeng Zhang, Jiawei Sheng, Chuang Zhang, Yunzhi Liang, Wenyuan Zhang, Siqi Wang, Tingwen Liu

CoRR, 2024

Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking.

Zefeng Zhang, Jiawei Sheng, Chuang Zhang, Liangyunzhi Liangyunzhi, Wenyuan Zhang, Siqi Wang, Tingwen Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2024