Papers by Donghu Kim

    1 papers
    Building Resource-Constrained Language Agents: A Korean Case Study on Chemical Toxicity Information (2025.emnlp-industry)

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    Challenge: Existing language agents powered by large language models face resource-constrained environments . proprietary models raise concerns in cost and service dependency, while large-scale open-source models require substantial computational resources.
    Approach: They propose a Korean chemical toxicity information agent that reduces token consumption . they propose 'scenario-based dialogue generation' methodology that distills tool-using capabilities from larger models.
    Outcome: The proposed language agent outperforms untuned models and baseline approaches in DB faithfulness and preference.

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