Papers by Zhiyuan Kan
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen (2020.acl-main)
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| Challenge: | a curse of knowledge can impede communication between experts and laymen. |
| Approach: | They propose a task of expertise style transfer to automate the communication between experts and laymen using an annotated dataset. |
| Outcome: | The proposed task simplifies professional language and improves accuracy and expertise level of laymen descriptions using simple words. |
Large Language Models Are Still Misled by Simple Bias Ensembles (2026.findings-acl)
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| Challenge: | Existing benchmarks for large language models are constrained to datasets where each sample is manually injected with only one type of bias. |
| Approach: | They propose a multi-bias benchmark where each sample contains multiple types of biases. |
| Outcome: | The proposed benchmark shows that existing LLMs and debiasing methods perform poorly on this benchmark, highlighting the challenge of eliminating compounded biases. |