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 36 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork.
CoRR, May, 2026

PLOT: Enhancing Preference Learning via Optimal Transport.
CoRR, April, 2026

Qwen3-Coder-Next Technical Report.
CoRR, March, 2026

SWE-Universe: Scale Real-World Verifiable Environments to Millions.
CoRR, February, 2026

Evaluating and Achieving Controllable Code Completion in Code LLM.
CoRR, January, 2026

From Completion to Editing: Unlocking Context-Aware Code Infilling via Search-and-Replace Instruction Tuning.
CoRR, January, 2026

MegaFlow: Large-Scale Distributed Orchestration System for the Agentic Era.
CoRR, January, 2026

2025
SWE-RM: Execution-free Feedback For Software Engineering Agents.
CoRR, December, 2025

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

Turning the Tide: Repository-based Code Reflection.
CoRR, July, 2025

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

Parallel Scaling Law for Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Synthesizing Software Engineering Data in a Test-Driven Manner.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Turning the Tide: Repository-based Code Reflection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

CodeArena: Evaluating and Aligning CodeLLMs on Human Preference.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

START: Self-taught Reasoner with Tools.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 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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