Papers with CIP
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. |
LLM-SLM Collaborative Framework of Idiomatic Expression Generation (2026.acl-long)
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| Challenge: | Existing methods for idiomatic expression generation lack parallel data and manual annotations. |
| Approach: | They propose an iterative LLM-SLM collaborative framework that replaces human supervision for idiomatic expression data generation. |
| Outcome: | The proposed framework outperforms DeepSeek-R1 in Chinese Idiom Polishing with a 25.2% improvement in accuracy. |
Enhancing LLM Agent Safety via Causal Influence Prompting (2025.findings-acl)
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| Challenge: | Experimental results demonstrate that our method effectively enhances safety in code execution and mobile device control tasks. |
| Approach: | They propose a technique that leverages causal influence diagrams to identify and mitigate risks arising from agent decision-making. |
| Outcome: | The proposed method enhances safety in code execution and mobile device control tasks. |