Jinman Zhao

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 22

Top Topics

Data Imputation

Document Retrieval

Top Venues

Publications

Zhicheng Ding, Jiahao Tian, Zhenkai Wang, Jinman Zhao, Siyang Li
Semantic Understanding and Data Imputation using Large Language Model to Accelerate Recommendation System. CoRR (2024)
Jinman Zhao, Xueyan Zhang
Exploring the Limitations of Large Language Models in Compositional Relation Reasoning. CoRR (2024)
Jinman Zhao, Yitian Ding, Chen Jia, Yining Wang, Zifan Qian
Gender Bias in Large Language Models across Multiple Languages. CoRR (2024)
Dingmin Wang, Jinman Zhao, Hengzhi Pei, Samson Tan, Sheng Zha
Fine-tuning Language Models for Joint Rewriting and Completion of Code with Potential Bugs. ACL (Findings) (2024)
Jinman Zhao, Gerald Penn
A Generative Model for Lambek Categorial Sequents. LREC/COLING (2024)
Jinman Zhao, Xiaoqing Han, Chengmin Wang, Jing Yang, Gengwu Zhang
Contrastive-Active Transfer Learning-Based Real-Time Adaptive Assessment Method for Power System Transient Stability. Sensors 24 (15) (2024)
Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis
Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion. AAAI (2023)
Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis
Large Language Models of Code Fail at Completing Code with Potential Bugs. NeurIPS (2023)
Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis
Large Language Models of Code Fail at Completing Code with Potential Bugs. CoRR (2023)
Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis
Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion. CoRR (2023)
Seohyun Kim, Jinman Zhao, Yuchi Tian, Satish Chandra
Code Prediction by Feeding Trees to Transformers. ICSE (2021)
Jinman Zhao, Shawn Zhong, Xiaomin Zhang, Yingyu Liang
PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding. EMNLP (Findings) (2020)
Jinman Zhao, Shawn Zhong, Xiaomin Zhang, Yingyu Liang
PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding. CoRR (2020)
Seohyun Kim, Jinman Zhao, Yuchi Tian, Satish Chandra
Code Prediction by Feeding Trees to Transformers. CoRR (2020)
Renjie Song, Yitong Yin, Jinman Zhao
Counting hypergraph matchings up to uniqueness threshold. Inf. Comput. 266 (2019)
Lingjiao Chen, Hongyi Wang, Jinman Zhao, Dimitris S. Papailiopoulos, Paraschos Koutris
The Effect of Network Width on the Performance of Large-batch Training. NeurIPS (2018)
Jinman Zhao, Aws Albarghouthi, Vaibhav Rastogi, Somesh Jha, Damien Octeau
Neural-Augmented Static Analysis of Android Communication. CoRR (2018)
Jinman Zhao, Sidharth Mudgal, Yingyu Liang
Generalizing Word Embeddings using Bag of Subwords. CoRR (2018)
Jinman Zhao, Aws Albarghouthi, Vaibhav Rastogi, Somesh Jha, Damien Octeau
Neural-augmented static analysis of Android communication. ESEC/SIGSOFT FSE (2018)
Jinman Zhao, Sidharth Mudgal, Yingyu Liang
Generalizing Word Embeddings using Bag of Subwords. EMNLP (2018)
Lingjiao Chen, Hongyi Wang, Jinman Zhao, Dimitris S. Papailiopoulos, Paraschos Koutris
The Effect of Network Width on the Performance of Large-batch Training. CoRR (2018)
Renjie Song, Yitong Yin, Jinman Zhao
Counting Hypergraph Matchings up to Uniqueness Threshold. APPROX-RANDOM (2016)
Yitong Yin, Jinman Zhao
Counting hypergraph matchings up to uniqueness threshold. CoRR (2015)