Papers by Chaowei Zhang

5 papers
Chinese Idiom Paraphrasing (2023.tacl-1)

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Challenge: Chinese idioms are hard to understand by children and non-native speakers due to their non-compositionality and metaphorical meaning.
Approach: They propose a task to rephrase idiom-containing sentences to non-idiomatic ones under the premise of preserving the original sentence’s meaning.
Outcome: The proposed method has better performance than baselines based on the established dataset.
Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks (2026.acl-demo)

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Challenge: **Copyright Detective** is the first interactive forensic system for detecting, analyzing, and visualizing potential copyright risks in LLM outputs.
Approach: They propose a system that detects copyright infringements and visualizes them . they use content recall testing, paraphrase-level similarity analysis and persuasive jailbreak probing .
Outcome: The proposed system detects, analyzes, and visualizes potential copyright risks in LLM outputs.
PIGuard: Prompt Injection Guardrail via Mitigating Overdefense for Free (2025.acl-long)

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Challenge: Prompt injection attacks pose a critical threat to large language models, enabling goal hijacking and data leakage.
Approach: They propose a prompt guard model that incorporates a new training strategy to mitigate over-defense for free . PIGuard significantly reduces the bias on trigger words, enabling fine-grained evaluation .
Outcome: The proposed model outperforms the existing model on diverse benchmarks by 30.4%.
AI4Reading: Chinese Audiobook Interpretation System Based on Multi-Agent Collaboration (2025.acl-demo)

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Challenge: Interpretative audiobooks are becoming more popular, but their manual creation process remains time-consuming and resource-intensive.
Approach: They propose a multi-agent collaboration system that leverages large language models and speech synthesis technology to generate podcast-like audiobook interpretations.
Outcome: The proposed system is open source and open to the public.
Chinese Live-Streaming E-Commerce Morph Resolution: Datasets and Methods (2026.findings-acl)

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Challenge: Live-stream E-commerce faces significant challenges from morphs, deliberate linguistic variants used to evade real-time voice filters and amplify product claims illegally.
Approach: They propose a framework that resolves morphs and generates structured explanations . they propose morph-aware dual-output refinement framework that detects inconsistencies .
Outcome: The proposed framework improves morph resolution accuracy and interpretability.

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