Papers with real-world models
ENTYFI: A System for Fine-grained Entity Typing in Fictional Texts (2020.emnlp-demos)
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| Challenge: | ENTYFI is a web-based system for fine-grained typing of entity mentions in fictional texts. |
| Approach: | They propose a web-based system for fine-grained typing of entity mentions in fictional texts . entity types are a core building block of current knowledge bases . |
| Outcome: | The proposed system builds on 205 automatically induced high-quality type systems for popular fictional domains and provides recommendations towards reference type systems. |
Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models (2025.acl-long)
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| Challenge: | Existing research on model merging focuses on optimizing model performance and minimizing backdoors. |
| Approach: | They propose a backdoor attack targeting model merging in Large Language Models that creates a unified model for multi-domain tasks. |
| Outcome: | The proposed attack is effective across models, merging algorithms, and tasks while maintaining utility across tasks. |