Jia Li

46 papers A* 6A 2Misc 1Journal 30Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Viable Paradigm of Software Automation: Iterative End-to-End Automated Software Development.
CoRR
Jia Li, Zhi Jin, Huangzhao Zhang, Kechi Zhang, Jiaru Qian, Tiankuo Zhao
2025 J jnl
AdapTrack: Constrained Decoding without Distorting LLM's Output Intent.
CoRR
Yongmin Li, Jia Li, Ge Li, Zhi Jin
2025 A* conf
Aligning LLMs to Fully Utilize the Cross-file Context in Repository-level Code Completion.
ASE
Jia Li, Hao Zhu, Huanyu Liu, Xianjie Shi, He Zong, Yihong Dong, Kechi Zhang, Siyuan Jiang, Zhi Jin, Ge Li
2025 J jnl
CodeRAG: Supportive Code Retrieval on Bigraph for Real-World Code Generation.
CoRR
Jia Li, Xianjie Shi, Kechi Zhang, Lei Li, Ge Li, Zhengwei Tao, Jia Li, Fang Liu, Chongyang Tao, Zhi Jin
2025 J jnl
Computational Thinking Reasoning in Large Language Models.
CoRR
Kechi Zhang, Ge Li, Jia Li, Huangzhao Zhang, Jingjing Xu, Hao Zhu, Lecheng Wang, Yihong Dong, Jing Mai, Bin Gu, Zhi Jin
2025 J jnl
Ensembling Large Language Models for Code Vulnerability Detection: An Empirical Evaluation.
CoRR
Zhihong Sun, Jia Li, Yao Wan, Chuanyi Li, Hongyu Zhang, Zhi Jin, Ge Li, Hong Liu, Chen Lyu, Songlin Hu
2025 J jnl
EvoCoT: Overcoming the Exploration Bottleneck in Reinforcement Learning.
CoRR
Huanyu Liu, Jia Li, Chang Yu, Taozhi Chen, Yihong Dong, Lecheng Wang, Xiaolong Hu, Ge Li
2025 J jnl
FANformer: Improving Large Language Models Through Effective Periodicity Modeling.
CoRR
Yihong Dong, Ge Li, Xue Jiang, Yongding Tao, Kechi Zhang, Hao Zhu, Huanyu Liu, Jiazheng Ding, Jia Li, Jinliang Deng, Hong Mei
2025 J jnl
Large Language Model-Aware In-Context Learning for Code Generation.
ACM Trans. Softw. Eng. Methodol.
Jia Li, Chongyang Tao, Jia Li, Ge Li, Zhi Jin, Huangzhao Zhang, Zheng Fang, Fang Liu
2025 J jnl
SATURN: SAT-based Reinforcement Learning to Unleash Language Model Reasoning.
CoRR
Huanyu Liu, Jia Li, Hao Zhu, Kechi Zhang, Yihong Dong, Ge Li
2025 J jnl
Specification-Guided Vulnerability Detection with Large Language Models.
CoRR
Hao Zhu, Jia Li, Cuiyun Gao, Jiaru Qian, Yihong Dong, Huanyu Liu, Lecheng Wang, Ziliang Wang, Xiaolong Hu, Ge Li
2025 — conf
UnCert-CoT: Uncertainty-Aware Chain-of-Thought for Code Generation with Large Language Model.
ICIC (23)
Yuqi Zhu, Ge Li, Xue Jiang, Jia Li, Hong Mei, Zhi Jin, Yihong Dong, Qibin Zheng
2025 J jnl
VulAgent: Hypothesis-Validation based Multi-Agent Vulnerability Detection.
CoRR
Ziliang Wang, Ge Li, Jia Li, Hao Zhu, Zhi Jin
2025 J jnl
aiXcoder-7B-v2: Training LLMs to Fully Utilize the Long Context in Repository-level Code Completion.
CoRR
Jia Li, Hao Zhu, Huanyu Liu, Xianjie Shi, He Zong, Yihong Dong, Kechi Zhang, Siyuan Jiang, Zhi Jin, Ge Li
2025 — conf
aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing.
SEIP@ICSE
Siyuan Jiang, Jia Li, He Zong, Huanyu Liu, Hao Zhu, Shukai Hu, Erlu Li, Jiazheng Ding, Yu Han, Wei Ning, Ge Li
2024 J jnl
Code Structure-Aware through Line-level Semantic Learning for Code Vulnerability Detection.
CoRR
Ziliang Wang, Ge Li, Jia Li, Yihong Dong, Yingfei Xiong, Zhi Jin
2024 — conf
CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges.
ACL (1)
Kechi Zhang, Jia Li, Ge Li, Xianjie Shi, Zhi Jin
2024 J jnl
CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges.
CoRR
Kechi Zhang, Jia Li, Ge Li, Xianjie Shi, Zhi Jin
2024 — conf
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.
ACL (Findings)
Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Huanyu Liu, Hao Zhu, Lecheng Wang, Kaibo Liu, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yuqi Zhu, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li, Bin Gu, Mengfei Yang
2024 J jnl
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.
CoRR
Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Huanyu Liu, Hao Zhu, Lecheng Wang, Kaibo Liu, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yuqi Zhu, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li
2024 J jnl
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations.
CoRR
Jia Li, Ge Li, Xuanming Zhang, Yunfei Zhao, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li
2024 J jnl
FAN: Fourier Analysis Networks.
CoRR
Yihong Dong, Ge Li, Yongding Tao, Xue Jiang, Kechi Zhang, Jia Li, Jing Su, Jun Zhang, Jingjing Xu
2024 J jnl
Generating Equivalent Representations of Code By A Self-Reflection Approach.
CoRR
Jia Li, Ge Li, Lecheng Wang, Hao Zhu, Zhi Jin
2024 A* conf
Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models.
AAAI
Yuqi Zhu, Jia Li, Ge Li, Yunfei Zhao, Jia Li, Zhi Jin, Hong Mei
2024 J jnl
M2CVD: Multi-Model Collaboration for Code Vulnerability Detection.
CoRR
Ziliang Wang, Ge Li, Jia Li, Meng Yan, Yingfei Xiong, Zhi Jin
2024 J jnl
Showing LLM-Generated Code Selectively Based on Confidence of LLMs.
CoRR
Jia Li, Yuqi Zhu, Yongmin Li, Ge Li, Zhi Jin
2024 A* conf
Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates.
ASE
Zhihong Sun, Yao Wan, Jia Li, Hongyu Zhang, Zhi Jin, Ge Li, Chen Lyu
2024 J jnl
Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates.
CoRR
Zhihong Sun, Yao Wan, Jia Li, Hongyu Zhang, Zhi Jin, Ge Li, Chen Lyu
2024 J jnl
WELL: Applying bug detectors to bug localization via weakly supervised learning.
J. Softw. Evol. Process.
Huangzhao Zhang, Zhuo Li, Jia Li, Zhi Jin, Ge Li
2024 J jnl
Why language models collapse when trained on recursively generated text.
CoRR
Lecheng Wang, Xianjie Shi, Ge Li, Jia Li, Yihong Dong, Xuanming Zhang, Wenpin Jiao, Hong Mei
2024 J jnl
aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Completion.
CoRR
Siyuan Jiang, Jia Li, He Zong, Huanyu Liu, Hao Zhu, Shukai Hu, Erlu Li, Jiazheng Ding, Yu Han, Wei Ning, Gen Wang, Yihong Dong, Kechi Zhang, Ge Li
2023 J jnl
EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Models.
CoRR
Zhengwei Tao, Zhi Jin, Xiaoying Bai, Haiyan Zhao, Yanlin Feng, Jia Li, Wenpeng Hu
2023 J jnl
Improving Code Generation by Dynamic Temperature Sampling.
CoRR
Yuqi Zhu, Jia Li, Ge Li, Yunfei Zhao, Jia Li, Zhi Jin, Hong Mei
2023 J jnl
Large Language Model-Aware In-Context Learning for Code Generation.
CoRR
Jia Li, Ge Li, Chongyang Tao, Jia Li, Huangzhao Zhang, Fang Liu, Zhi Jin
2023 — conf
MCodeSearcher: Multi-View Contrastive Learning for Code Search.
Internetware
Jia Li, Fang Liu, Jia Li, Yunfei Zhao, Ge Li, Zhi Jin
2023 A* conf
Syntax and Domain Aware Model for Unsupervised Program Translation.
ICSE
Fang Liu, Jia Li, Li Zhang
2023 J jnl
Syntax and Domain Aware Model for Unsupervised Program Translation.
CoRR
Fang Liu, Jia Li, Li Zhang
2023 A* conf
ZC
ASE
Jia Li, Chongyang Tao, Zhi Jin, Fang Liu, Jia Li, Ge Li
2023 J jnl
ZC3: Zero-Shot Cross-Language Code Clone Detection.
CoRR
Jia Li, Chongyang Tao, Zhi Jin, Fang Liu, Jia Li, Ge Li
2022 Misc conf
BNU: A Balance-Normalization-Uncertainty Model for Incremental Event Detection.
ICASSP
Jia Li, Yunyan Zhang, Yifan Yang, Zhicheng An, Yefeng Zheng
2022 A conf
SK2: Integrating Implicit Sentiment Knowledge and Explicit Syntax Knowledge for Aspect-Based Sentiment Analysis.
CIKM
Jia Li, Yuyuan Zhao, Zhi Jin, Ge Li, Tao Shen, Zhengwei Tao, Chongyang Tao
2022 A conf
Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training.
WSDM
Jia Li, Chongyang Tao, Huang Hu, Can Xu, Yining Chen, Daxin Jiang
2021 A* conf
TUTA: Tree-based Transformers for Generally Structured Table Pre-training.
KDD
Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang
2020 J jnl
Structure-aware Pre-training for Table Understanding with Tree-based Transformers.
CoRR
Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang
2019 — conf
Evaluating and Enhancing the Robustness of Retrieval-Based Dialogue Systems with Adversarial Examples.
NLPCC (1)
Jia Li, Chongyang Tao, Nanyun Peng, Wei Wu, Dongyan Zhao, Rui Yan
2019 — conf
Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems.
EMNLP/IJCNLP (1)
Jia Li, Chongyang Tao, Wei Wu, Yansong Feng, Dongyan Zhao, Rui Yan