Papers by Daechul Ahn
Becoming Experienced Judges: Selective Test-Time Learning for Evaluators (2026.eacl-short)
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| Challenge: | Large language models and visionlanguage models are increasingly used as automatic evaluators. |
| Approach: | They propose a framework that allows evaluators to improve *sequentially* at inference time without additional training or external signals. |
| Outcome: | The proposed framework outperforms strong baselines in two pairwise comparisons. |
Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback (2024.acl-long)
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| Challenge: | Recent advances in large language models have influenced the development of video large multimodal models (VLMMs). |
| Approach: | They propose a method that integrates video descriptions as context into a multimodal AI system to enrich the understanding of video content. |
| Outcome: | Empirical evaluations show that the proposed approach outperforms existing approaches for video large multimodal models (VLMMs) |