Papers by Ximing Wen
GAProtoNet: A Multi-head Graph Attention-based Prototypical Network for Interpretable Text Classification (2025.coling-main)
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| Challenge: | Existing models with black-box nature obscure decision-making process and lack interpretability. |
| Approach: | They propose a multi-head graph attention-based prototypical network that uses a vector and prototypes to learn an interpretable prototypical representation. |
| Outcome: | The proposed model achieves superior results without sacrificing the accuracy of the original black-box LMs. |
Switching Heads and Softening Tokens: Turnkey Solutions to Visually Grounded Document QA (2026.findings-acl)
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| Challenge: | Document Question Answering lacks robust, end-to-end solutions capable of handling complex, multi-answer queries without reliance on ad-hoc processing. |
| Approach: | They propose a single-head architecture where coordinates are represented as special tokens within the unified vocabulary. |
| Outcome: | The proposed architectures improve visual grounding but lack spatial precision bound by discretization. |