Papers by Ruiyang Qin
Textagon: Boosting Language Models with Theory-guided Parallel Representations (2025.acl-demo)
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| Challenge: | Pretrained language models do not account for the wide variety of available expert-generated language resources and lexicons that explicitly encode linguistic/domain knowledge. |
| Approach: | They propose a Python package for generating parallel representations for text based on predefined lexicons and selecting representations that provide the most information. |
| Outcome: | The proposed model can generate parallel representations of text based on predefined lexicons and select representations that provide the most information. |
Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual Enhancement (2026.acl-long)
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| Challenge: | Existing research has focused on mitigating object hallucinations but often overlooks more complex relation hallucines, especially action relations involving interactions between objects. |
| Approach: | They propose a framework to locate action-relevant image regions and enhance the LVLM’s attention to those regions by using a Relation-aware Visual Enhancement method. |
| Outcome: | The proposed method achieves superior performance in mitigating action-relation hallucinations with negligible additional inference cost. |