Xuemiao Zhang

According to our database1, Xuemiao Zhang authored at least 13 papers between 2019 and 2025.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2025
FIRE: Flexible Integration of Data Quality Ratings for Effective Pre-Training.
CoRR, February, 2025

Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data.
CoRR, January, 2025

Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Enhancing LLMs via High-Knowledge Data Selection.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Adaptive semi-supervised learning from stronger augmentation transformations of discrete text information.
Knowl. Inf. Syst., August, 2024

2023
Adaptively Multi-Objective Adversarial Training for Medical Image Report Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Adversarial Training with Comprehensive Objective for Medical Image Report Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Adaptive Semi-Supervised Learning from Stronger Augmented Transformations of Medical Texts.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2020
Knowledge-embodied attention for distantly supervised relation extraction.
Intell. Data Anal., 2020

Adaptively Multi-Objective Adversarial Training for Dialogue Generation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learn with Noisy Data via Unsupervised Loss Correction for Weakly Supervised Reading Comprehension.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Knowledge-Aware and Retrieval-Based Models for Distantly Supervised Relation Extraction.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019


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