Papers by Xien Liu
Table-based Fact Verification with Self-adaptive Mixture of Experts (2022.findings-acl)
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| Challenge: | Existing research focuses on table-based fact verification, but a new trend is extending the scope to structured evidence. |
| Approach: | They propose a mixture-of-experts neural network to recognize and execute different types of reasoning . they use a management module to decide the contribution of each expert network to the verification result . |
| Outcome: | The proposed method achieves 85.1% accuracy on the TabFact dataset, comparable with the previous state-of-the-art models. |
LLM Sensitivity Evaluation Framework for Clinical Diagnosis (2025.coling-main)
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| Challenge: | Existing studies on the sensitivity of Large Language Models (LLMs) to irrelevant contexts neglect the importance of key information. |
| Approach: | They investigate the sensitivity of large language models to key medical information by introducing different perturbation strategies to investigate their sensitivity. |
| Outcome: | The proposed models are based on three LLMs, namely GPT-3.5, GPT-4, Gemini, Claude3 and LLaMA2-7b, and demonstrate their reliability and sensitivity to medical information. |