Papers by Jae Sung Park
Morpheme Matters: Morpheme-Based Subword Tokenization for Korean Language Models (2026.eacl-short)
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| Challenge: | Existing tokenizers rely on frequency-based segmentation to represent words . this often leads to inefficient token representations and oversegmentation . |
| Approach: | They propose a tokenization method that emphasizes the importance of Korean morphological structures in eojeol. |
| Outcome: | The proposed method outperforms existing tokenizers on Korean benchmark tasks and produces significantly fewer tokens per input sequence. |
Exposing the Limits of Video-Text Models through Contrast Sets (2022.naacl-main)
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| Challenge: | Recent video-text models can retrieve relevant videos based on text with high accuracy, but to what extent do they comprehend the semantics of the text? |
| Approach: | They propose a framework that probes video-text models with hard negatives . they leverage a pre-trained language model and a set of heuristics to create verb and person entity focused contrast sets. |
| Outcome: | The proposed framework erases the performance gap between CLIP-based methods and the earlier methods. |