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ORCIDJinman Zhao
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2020 – today
- 2024
[j2]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): 5052 (2024)- [c11]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: 15854-15868 - [c10]Jinman Zhao, Gerald Penn:
A Generative Model for Lambek Categorial Sequents. LREC/COLING 2024: 584-593 - [c9]Jinman Zhao, Gerald Penn:
LLM-supertagger: Categorial Grammar Supertagging via Large Language Models. EMNLP (Findings) 2024: 697-705 - [i16]Jinman Zhao, Yitian Ding, Chen Jia, Yining Wang, Zifan Qian:
Gender Bias in Large Language Models across Multiple Languages. CoRR abs/2403.00277 (2024) - [i15]Jinman Zhao, Xueyan Zhang:
Exploring the Limitations of Large Language Models in Compositional Relation Reasoning. CoRR abs/2403.02615 (2024) - [i14]Zhicheng Ding, Jiahao Tian, Zhenkai Wang, Jinman Zhao, Siyang Li:
Semantic Understanding and Data Imputation using Large Language Model to Accelerate Recommendation System. CoRR abs/2407.10078 (2024) - [i13]Jiahao Tian, Jinman Zhao, Zhenkai Wang, Zhicheng Ding:
MMREC: LLM Based Multi-Modal Recommender System. CoRR abs/2408.04211 (2024) - [i12]Zhiyuan Hu, Yuliang Liu, Jinman Zhao, Suyuchen Wang, Yan Wang, Wei Shen, Qing Gu, Anh Tuan Luu, See-Kiong Ng, Zhiwei Jiang, Bryan Hooi:
LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models. CoRR abs/2409.00509 (2024) - [i11]Jinman Zhao, Xueyan Zhang, Xingyu Yue, Weizhe Chen, Zifan Qian, Ruiyu Wang:
Can Language Model Understand Word Semantics as A Chatbot? An Empirical Study of Language Model Internal External Mismatch. CoRR abs/2409.13972 (2024) - [i10]Jinman Zhao, Zifan Qian, Linbo Cao, Yining Wang, Yitian Ding:
Bias and Toxicity in Role-Play Reasoning. CoRR abs/2409.13979 (2024) - [i9]Yining Wang, Jinman Zhao, Yuri A. Lawryshyn:
GPT-Signal: Generative AI for Semi-automated Feature Engineering in the Alpha Research Process. CoRR abs/2410.18448 (2024) - 2023
- [c8]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: 5230-5238 - [c7]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 - [i8]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 abs/2306.00381 (2023) - [i7]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 abs/2306.03438 (2023) - 2021
- [c6]Seohyun Kim, Jinman Zhao, Yuchi Tian, Satish Chandra:
Code Prediction by Feeding Trees to Transformers. ICSE 2021: 150-162 - 2020
- [c5]Jinman Zhao, Shawn Zhong, Xiaomin Zhang
, Yingyu Liang:
PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding. EMNLP (Findings) 2020: 596-611 - [i6]Seohyun Kim, Jinman Zhao, Yuchi Tian, Satish Chandra:
Code Prediction by Feeding Trees to Transformers. CoRR abs/2003.13848 (2020) - [i5]Jinman Zhao, Shawn Zhong, Xiaomin Zhang, Yingyu Liang:
PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding. CoRR abs/2010.10813 (2020)
2010 – 2019
- 2019
- [j1]Renjie Song, Yitong Yin, Jinman Zhao:
Counting hypergraph matchings up to uniqueness threshold. Inf. Comput. 266: 75-96 (2019) - 2018
- [c4]Jinman Zhao, Sidharth Mudgal, Yingyu Liang:
Generalizing Word Embeddings using Bag of Subwords. EMNLP 2018: 601-606 - [c3]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: 9322-9332 - [c2]Jinman Zhao, Aws Albarghouthi, Vaibhav Rastogi, Somesh Jha, Damien Octeau:
Neural-augmented static analysis of Android communication. ESEC/SIGSOFT FSE 2018: 342-353 - [i4]Lingjiao Chen, Hongyi Wang, Jinman Zhao, Dimitris S. Papailiopoulos, Paraschos Koutris:
The Effect of Network Width on the Performance of Large-batch Training. CoRR abs/1806.03791 (2018) - [i3]Jinman Zhao, Aws Albarghouthi, Vaibhav Rastogi, Somesh Jha, Damien Octeau:
Neural-Augmented Static Analysis of Android Communication. CoRR abs/1809.04059 (2018) - [i2]Jinman Zhao, Sidharth Mudgal, Yingyu Liang:
Generalizing Word Embeddings using Bag of Subwords. CoRR abs/1809.04259 (2018) - 2016
- [c1]Renjie Song, Yitong Yin, Jinman Zhao:
Counting Hypergraph Matchings up to Uniqueness Threshold. APPROX-RANDOM 2016: 46:1-46:29 - 2015
- [i1]Yitong Yin, Jinman Zhao:
Counting hypergraph matchings up to uniqueness threshold. CoRR abs/1503.05812 (2015)
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