Jiaxi Yang

Orcid: 0009-0006-3465-7790

According to our database1, Jiaxi Yang authored at least 52 papers between 2021 and 2026.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2026
Tianyi: A traditional Chinese medicine all-rounder language model and its real-world clinical practice.
Inf. Fusion, 2026

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

Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems.
CoRR, May, 2025

Tianyi: A Traditional Chinese Medicine all-rounder language model and its Real-World Clinical Practice.
CoRR, May, 2025

Parallel Scaling Law for Language Models.
CoRR, May, 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

Controllable Emotion Generation with Emotion Vectors.
CoRR, February, 2025

RWKV-UI: UI Understanding with Enhanced Perception and Reasoning.
CoRR, February, 2025

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

Unlearning for Federated Online Learning to Rank: A Reproducibility Study.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

GMValuator: Similarity-based Data Valuation for Generative Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics, 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

Separating the Wheat from the Chaff: Spatio-Temporal Transformer with View-interweaved Attention for Photon-Efficient Depth Sensing.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Fine-Tuning Language Models with Collaborative and Semantic Experts.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
TranDRL: A Transformer-Driven Deep Reinforcement Learning Enabled Prescriptive Maintenance Framework.
IEEE Internet Things J., November, 2024

TCM-KDIF: An Information Interaction Framework Driven by Knowledge-Data and Its Clinical Application in Traditional Chinese Medicine.
IEEE Internet Things J., June, 2024

TLDA: A transfer learning based dual-augmentation strategy for traditional Chinese Medicine syndrome differentiation in rare disease.
Comput. Biol. Medicine, February, 2024

Effects of single and multiple imputation strategies on addressing over-fitting issues caused by imbalanced data from various scenarios.
Appl. Intell., February, 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

A Survey on Trustworthiness in Foundation Models for Medical Image Analysis.
CoRR, 2024

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

Portfolio-Based Incentive Mechanism Design for Cross-Device Federated Learning.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Xylocode: A Novel Approach to Fostering Interest in Computer Science via an Embodied Music Simulation.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 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

Auto Insurance Fraud Detection with Multimodal Learning.
Data Intell., 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

A Survey of Federated Unlearning: A Taxonomy, Challenges and Future Directions.
CoRR, 2023

Federated Learning Incentive Mechanism under Buyers' Auction Market.
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

Matching-based Data Valuation for Generative Model.
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

2022
Multi-dimensional Data Quick Query for Blockchain-Based Federated Learning.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

Research on Chinese Short Text Classification Based on Prefix-vector Attention Template and Probabilistic Answer Set.
Proceedings of the IEEE Smartworld, 2022

Public Data Assisted Differential Private Deep Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

Glass Segmentation using Intensity and Spectral Polarization Cues.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
A Survey of Toxic Comment Classification Methods.
CoRR, 2021

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

Differentially Private Correlation Alignment for Domain Adaptation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 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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