Papers by Yingbin Jin

2 papers
AudioStealer: Extracting Audio Prompts via Shapley Value-Guided Query Search (2026.findings-acl)

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Challenge: prompt stealing is a new form of attack that aims to reconstruct high-value prompts that guide music generation.
Approach: They propose a method to steal music prompts from audio domains using a black-box attack framework.
Outcome: The proposed method recovers prompts with high textual consistency to the ground truth while maintaining strong perceptual similarity to the target recordings.
DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition (2025.emnlp-main)

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Challenge: Existing datasets designed for Named Entity Recognition methods are inadequate for LLMs.
Approach: They propose a dataset that is multilingual and multi-granular and enables LLMs to be applied to Named Entity Recognition methods.
Outcome: The proposed dataset is multilingual and multi-granular, covering 8 languages and 155 entity types, with corpora spanning a diverse range of domains.

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