Papers by Jihee Kim
TIDES: Technical Information Discovery and Extraction System (2025.emnlp-main)
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| Challenge: | Traditional pre-trained LLMs struggle with domain-specific terminology, while fine-tuned LLM requires substantial computational resources. |
| Approach: | They propose a training-free approach that combines TF-IDF with prompt-based LLMs to address technical questions. |
| Outcome: | The proposed system improves the accuracy and efficiency of QA systems in technical domains without LLM retraining. |
CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text (2024.findings-emnlp)
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| Challenge: | Existing methods for detecting out-of-distribution (OOD) samples are limited due to their domain shift and computational limitations. |
| Approach: | They propose a training-free method to detect out-of-distribution (OOD) samples . they theoretically validate that specific auxiliary and oracle samples improve this distinction . |
| Outcome: | The proposed method improves the ability of pre-trained models to distinguish between ID and OOD samples in text classification and hallucination detection tasks. |