Papers by Maosen Zhang
LeakDojo: Decoding the Leakage Threats of RAG Systems (2026.findings-acl)
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| Challenge: | Existing studies have failed to assess RAG leakage risks for large language models . constructing and maintaining highquality RAG knowledge databases has become increasingly costly . |
| Approach: | They propose a framework for controlled evaluation of RAG leakage using query generation and adversarial instructions. |
| Outcome: | The proposed framework compares six existing attacks across fourteen LLMs, four datasets, and diverse RAG systems. |
Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach (2020.findings-emnlp)
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| Challenge: | Generating natural language under complex constraints is a principled formulation towards controllable text generation. |
| Approach: | They propose a method to specify combinatorial constraints for sentence generation . they use a tree search algorithm embedded into the proposal process of the Markov Chain Monte Carlo . |
| Outcome: | The proposed method achieves consistent and significant improvement on multiple language generation tasks. |
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction (D19-1)
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| Challenge: | Existing studies on DS-based relation extraction (RE) methods focus on handling label noise, but other factors may have been overlooked. |
| Approach: | They propose a method to automatically adjust DS-RE models to a shifted label distribution problem . they find this problem exists in real-world DS datasets and can be overcome . |
| Outcome: | The proposed method achieves consistent performance gains on DS-trained models with an up to 23% relative F1 improvement, which verifies their assumptions. |