Papers by Yijin Wang

2 papers
Outdated Issue Aware Decoding for Factual Knowledge Editing (2024.findings-acl)

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Challenge: Existing knowledge editing methods retain outdated responses for reasoning questions . naively retraining LLMs can be computationally intensive and can lead to catastrophic forgetting .
Approach: They propose a simple yet effective decoding strategy to enhance edited models on reasoning questions.
Outcome: The proposed method outDates ISsue aware deCOding (DISCO) to improve models on reasoning questions.
P-QuASAR: A Unified Probabilistic Framework for Holistic Patent Quality Assessment and Refinement (2026.findings-acl)

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Challenge: Existing methods for assessing patent quality rely on modular pipelines or generic detectors, resulting in fragmented decisions and limited integration across quality dimensions.
Approach: They propose a probabilistic framework that represents patent specifications as Quality Graphs.
Outcome: The proposed framework outperforms existing methods on 500 patents against seven baselines.

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