Papers by Jinwook Choi
AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference (2025.findings-acl)
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| Challenge: | Existing research shows unsatisfactory empirical results for microscaling (MX) floating-point (FP) formats. |
| Approach: | They propose a 4-bit asymmetric FP format that handles activation outliers without calibration. |
| Outcome: | The proposed format outperforms MXFP4 by 3% on VQA and rotation-based methods by 1.6% on CSQA. |
Feature Difference Makes Sense: A medical image captioning model exploiting feature difference and tag information (2020.acl-srw)
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| Challenge: | Existing methods for medical image captioning are limited and lack diversity . current methods do not generalize well when applied to unfamiliar images . |
| Approach: | They propose a feature difference and tag information combined long short-term memory model for chest x-ray report generation. |
| Outcome: | The proposed model outperforms existing models in chest x-ray report generation. |