Jiaxi Yang

Orcid: 0000-0002-7710-1489

Affiliations:
  • Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China


According to our database1, Jiaxi Yang authored at least 24 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
PlotCraft: Pushing the Limits of LLMs for Complex and Interactive Data Visualization.
CoRR, November, 2025

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner.
CoRR, June, 2025

Qwen3 Technical Report.
CoRR, May, 2025

START: Self-taught Reasoner with Tools.
CoRR, March, 2025

Multi-Agent Collaboration for Multilingual Code Instruction Tuning.
CoRR, February, 2025

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings.
CoRR, January, 2025

Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Qwen2.5 Technical Report.
CoRR, 2024

ExecRepoBench: Multi-level Executable Code Completion Evaluation.
CoRR, 2024

Evaluating and Aligning CodeLLMs on Human Preference.
CoRR, 2024

Qwen2.5-Coder Technical Report.
CoRR, 2024

Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs.
CoRR, 2024

Marathon: A Race Through the Realm of Long Context with Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Synthesizing Text-to-SQL Data from Weak and Strong LLMs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Iterative Forward Tuning Boosts In-Context Learning in Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

One-Shot Learning as Instruction Data Prospector for Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
User-Specific Adaptive Fine-Tuning for Cross-Domain Recommendations.
IEEE Trans. Knowl. Data Eng., March, 2023

One Shot Learning as Instruction Data Prospector for Large Language Models.
CoRR, 2023

Marathon: A Race Through the Realm of Long Context with Large Language Models.
CoRR, 2023

Iterative Forward Tuning Boosts In-context Learning in Language Models.
CoRR, 2023

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs.
CoRR, 2023

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021
Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search.
CoRR, 2021

A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021


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