June Yong Yang
Orcid: 0009-0009-8799-889X
According to our database1,
June Yong Yang
authored at least 17 papers
between 2020 and 2025.
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Bibliography
2025
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Preserve or Modify? Context-Aware Evaluation for Balancing Preservation and Modification in Text-Guided Image Editing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
Augmentation-Driven Metric for Balancing Preservation and Modification in Text-Guided Image Editing.
CoRR, 2024
Token-Supervised Value Models for Enhancing Mathematical Reasoning Capabilities of Large Language Models.
CoRR, 2024
AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler.
CoRR, 2024
Unleashing the Potential of Text-attributed Graphs: Automatic Relation Decomposition via Large Language Models.
CoRR, 2024
No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization.
CoRR, 2024
IEEE Access, 2024
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation.
Proceedings of the International Conference on Machine Learning, 2023
2022
Does it Really Generalize Well on Unseen Data? Systematic Evaluation of Relational Triple Extraction Methods.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020