Jia Li

According to our database, Jia Li authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

2024

CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges.

Kechi Zhang, Jia Li, Ge Li, Xianjie Shi, Zhi Jin

CoRR, 2024

Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models.

Yuqi Zhu, Jia Li, Ge Li, Yunfei Zhao, Jia Li, Zhi Jin, Hong Mei

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Large Language Model-Aware In-Context Learning for Code Generation.

Jia Li, Ge Li, Chongyang Tao, Jia Li, Huangzhao Zhang, Fang Liu, Zhi Jin

CoRR, 2023

Improving Code Generation by Dynamic Temperature Sampling.

Yuqi Zhu, Jia Li, Ge Li, Yunfei Zhao, Jia Li, Zhi Jin, Hong Mei

CoRR, 2023

ZC3: Zero-Shot Cross-Language Code Clone Detection.

Jia Li, Chongyang Tao, Zhi Jin, Fang Liu, Jia Li, Ge Li

CoRR, 2023

EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Models.

Zhengwei Tao, Zhi Jin, Xiaoying Bai, Haiyan Zhao, Yanlin Feng, Jia Li, Wenpeng Hu

CoRR, 2023

ZC³: Zero-Shot Cross-Language Code Clone Detection.

Jia Li, Chongyang Tao, Zhi Jin, Fang Liu, Jia Li, Ge Li

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

MCodeSearcher: Multi-View Contrastive Learning for Code Search.

Jia Li, Fang Liu, Jia Li, Yunfei Zhao, Ge Li, Zhi Jin

Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023

Syntax and Domain Aware Model for Unsupervised Program Translation.

Fang Liu, Jia Li, Li Zhang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training.

Jia Li, Chongyang Tao, Huang Hu, Can Xu, Yining Chen, Daxin Jiang

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

BNU: A Balance-Normalization-Uncertainty Model for Incremental Event Detection.

Jia Li, Yunyan Zhang, Yifan Yang, Zhicheng An, Yefeng Zheng

Proceedings of the IEEE International Conference on Acoustics, 2022

SK2: Integrating Implicit Sentiment Knowledge and Explicit Syntax Knowledge for Aspect-Based Sentiment Analysis.

Jia Li, Yuyuan Zhao, Zhi Jin, Ge Li, Tao Shen, Zhengwei Tao, Chongyang Tao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

TUTA: Tree-based Transformers for Generally Structured Table Pre-training.

Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Structure-aware Pre-training for Table Understanding with Tree-based Transformers.

Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang

CoRR, 2020

2019

Evaluating and Enhancing the Robustness of Retrieval-Based Dialogue Systems with Adversarial Examples.

Jia Li, Chongyang Tao, Nanyun Peng, Wei Wu, Dongyan Zhao, Rui Yan

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems.

Jia Li, Chongyang Tao, Wei Wu, Yansong Feng, Dongyan Zhao, Rui Yan

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019