Papers by Jiaxin Gan

2 papers
RepEval: Effective Text Evaluation with LLM Representation (2024.emnlp-main)

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Challenge: Traditional metrics for automatic text evaluation are tailored to specific tasks, while LLM-based evaluation metrics are costly.
Approach: They propose a metric that leverages projections of LLM representations for evaluation.
Outcome: The proposed metric exhibits higher correlation with human judgments than previous methods on 14 datasets.
Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations (2025.emnlp-main)

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Challenge: Existing approaches to sequence labeling are limited due to the scarcity of domain-specific data and semantic distribution biases in domain-based contexts.
Approach: They propose a framework that integrates an LLM-based knowledge enhancement workflow with a span-based Knowledge Fusion for Rich and Efficient Extraction model.
Outcome: The proposed model achieves state-of-the-art performance on multiple domain-specific sequence labeling datasets and is highly efficient.

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