Zihao Lin

According to our database, Zihao Lin authored at least 12 papers between 2021 and 2024.

Collaborative distances:

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

2024

Trust it or not: Confidence-guided automatic radiology report generation.

Yixin Wang, Zihao Lin, Zhe Xu, Haoyu Dong, Jie Luo, Jiang Tian, Zhongchao Shi, Lifu Huang, Yang Zhang, Jianping Fan, Zhiqiang He

Neurocomputing, 2024

Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models.

Mohammad Beigi, Sijia Wang, Ying Shen, Zihao Lin, Adithya Kulkarni, Jianfeng He, Feng Chen, Ming Jin, Jin-Hee Cho, Dawei Zhou, Chang-Tien Lu, Lifu Huang

CoRR, 2024

InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States.

Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang

CoRR, 2024

Holistic Evaluation for Interleaved Text-and-Image Generation.

Minqian Liu, Zhiyang Xu, Zihao Lin, Trevor Ashby, Joy Rimchala, Jiaxin Zhang, Lifu Huang

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

InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States.

Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang

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

Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models.

Zihao Lin, Mohammad Beigi, Hongxuan Li, Yufan Zhou, Yuxiang Zhang, Qifan Wang, Wenpeng Yin, Lifu Huang

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

2023

Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models.

Zihao Lin, Yan Sun, Yifan Shi, Xueqian Wang, Lifu Huang, Li Shen, Dacheng Tao

CoRR, 2023

Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph.

Yixin Wang, Zihao Lin, Haoyu Dong

CoRR, 2023

Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training.

Yifan Shi, Yingqi Liu, Yan Sun, Zihao Lin, Li Shen, Xueqian Wang, Dacheng Tao

CoRR, 2023

Prompt Tuning based Adapter for Vision-Language Model Adaption.

Jingchen Sun, Jiayu Qin, Zihao Lin, Changyou Chen

CoRR, 2023

2021

Confidence-Guided Radiology Report Generation.

Yixin Wang, Zihao Lin, Jiang Tian, Zhongchao Shi, Yang Zhang, Jianping Fan, Zhiqiang He

CoRR, 2021

ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities.

Yixin Wang, Yang Zhang, Yang Liu, Zihao Lin, Jiang Tian, Cheng Zhong, Zhongchao Shi, Jianping Fan, Zhiqiang He

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021