Fulan Qian — accepted AI-conference papers

2025

Causality Meets the Table: Debiasing LLMs for Faithful TableQA via Front-Door Intervention

Zhen Yang, Ziwei Du, Minghan Zhang, Wei Du, Jie Chen, Fulan Qian +1

NeurIPS 2025poster

Table Question Answering (TableQA) combines natural language understanding and structured data reasoning, posing challenges in semantic interpretation and logical inference. Recent advances in Large Language Models (LLMs) have improved TableQA performance through Direct Prompting and Agent paradigms…

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2025

Forget the Unneeded: Backdooring Large Language Models via Contrastive-enhanced Machine Unlearning

Shiji Yang, Shu Zhao, Congyao Mei, Zhen Yang, Jie Chen, Fulan Qian +2

EMNLP 2025

Prompt tuning for Large Language Models (LLMs) is vulnerable to backdoor attacks. Existing methods find backdoor attacks to be a significant threat in data-rich scenarios. However, in data-limited scenarios, these methods have difficulty capturing precise backdoor patterns, leading to weakened backd

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