Papers by Gabriel Chua
LionGuard 2: Building Lightweight, Data-Efficient & Localised Multilingual Content Moderators (2025.emnlp-demos)
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| Challenge: | a new study shows that moderation systems that ignore localisation and low-resource variants risk degraded performance and exploitation in real-world deployments. |
| Approach: | They propose a lightweight, multilingual moderation classifier tailored to Singapore's context . it uses pre-trained OpenAI embeddings and a multi-head ordinal classifier . |
| Outcome: | The proposed classifier outperforms commercial and open-source models across 17 benchmarks. |