Jia Li

Affiliations:

Peking University, Key Lab of High Confidence Software Technology, Beijing, China
Peking University, EECS, Wangxuan Institute of Computer Technology, Beijing, China

According to our database¹, Jia Li authored at least 32 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Article

PhD thesis

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Other

Bibliography

2025

CodeRAG: Supportive Code Retrieval on Bigraph for Real-World Code Generation.

[BibT_eX]

[DOI]

CoRR, April, 2025

aiXcoder-7B-v2: Training LLMs to Fully Utilize the Long Context in Repository-level Code Completion.

[BibT_eX]

[DOI]

CoRR, March, 2025

FANformer: Improving Large Language Models Through Effective Periodicity Modeling.

[BibT_eX]

[DOI]

CoRR, February, 2025

UnCert-CoT: Uncertainty-Aware Chain-of-Thought for Code Generation with Large Language Model.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

WELL: Applying bug detectors to bug localization via weakly supervised learning.

[BibT_eX]

[DOI]

J. Softw. Evol. Process., September, 2024

Why language models collapse when trained on recursively generated text.

[BibT_eX]

[DOI]

CoRR, 2024

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations.

[BibT_eX]

[DOI]

CoRR, 2024

aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Completion.

[BibT_eX]

[DOI]

CoRR, 2024

Generating Equivalent Representations of Code By A Self-Reflection Approach.

[BibT_eX]

[DOI]

CoRR, 2024

Showing LLM-Generated Code Selectively Based on Confidence of LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

FAN: Fourier Analysis Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Code Structure-Aware through Line-level Semantic Learning for Code Vulnerability Detection.

[BibT_eX]

[DOI]

CoRR, 2024

M2CVD: Multi-Model Collaboration for Code Vulnerability Detection.

[BibT_eX]

[DOI]

CoRR, 2024

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.

[BibT_eX]

[DOI]

CoRR, 2024

Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

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

[BibT_eX]

[DOI]

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

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Improving Code Generation by Dynamic Temperature Sampling.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

ZC<sup>3</sup>: Zero-Shot Cross-Language Code Clone Detection.

[BibT_eX]

[DOI]

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

MCodeSearcher: Multi-View Contrastive Learning for Code Search.

[BibT_eX]

[DOI]

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

Syntax and Domain Aware Model for Unsupervised Program Translation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

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

[BibT_eX]

[DOI]

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

2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2020

2019

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Jia Li

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