Papers by Dianqing Liu
Exploring the Capability Boundaries of LLMs in Mastering of Chinese Chouxiang Language (2026.findings-acl)
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Dianqing Lin, Tian Lan, Jiali Zhu, Jiang Li, Wei Chen, Xu Liu, null Aruukhan, Xiangdong Su, Hongxu Hou, Guanglai Gao
| Challenge: | Current state-of-the-art LLMs exhibit clear limitations on multiple tasks, while performing well on tasks that involve contextual semantic understanding. |
| Approach: | They propose a mouse-based benchmark to evaluate LLMs' performance on NLP tasks involving Chouxiang Language. |
| Outcome: | The proposed benchmark evaluates the performance of LLMs on six NLP tasks involving Chouxiang Language. |
Mitigating Biases in Language Models via Bias Unlearning (2025.emnlp-main)
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| Challenge: | Recent debiasing approaches target different demographic groups, harming fairness and discrimination. |
| Approach: | They propose a model debiasing framework which targets stereotypes by unlearning stereotype forgetting and anti-stereotype retention. |
| Outcome: | The proposed framework outperforms existing methods in mitigating bias while retaining language modeling capabilities. |