Papers by Dain Lee
Benchmarking Direct Preference Optimization for Medical Large Vision–Language Models (2026.findings-eacl)
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| Challenge: | Large vision-language models (LVLMs) are gaining traction in clinical tasks such as diagnostic support, report generation, and medical question answering. |
| Approach: | They present a systematic evaluation of nine DPO variants applied to two leading medical LVLMs. |
| Outcome: | The proposed model improves alignment and reduces severe hallucinations, but yields inconsistent gains over supervised fine-tuning. |
Efficient Inference for Multilingual Neural Machine Translation (2021.emnlp-main)
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| Challenge: | Multilingual NMT is an attractive solution for production, but to match bilingual quality, it comes at the cost of larger and slower models. |
| Approach: | They propose to use a shallow decoder with vocabulary filtering to speed up inference . they validate their findings with BLEU and chrF on 380 language pairs . |
| Outcome: | The proposed approach can be used in two 20-language multi-parallel settings. |