Papers by Mingfei Zhang
Beyond Explicit Refusals: Soft-Failure Attacks on Retrieval-Augmented Generation (2026.acl-long)
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| Challenge: | Existing jamming attacks on RAG systems typically induce explicit refusals or denial-of-service behaviors. |
| Approach: | They propose a black-box attack framework that exploits safety-aligned behaviors of large language models to trigger soft failures. |
| Outcome: | The proposed framework exploits safety-aligned behaviors of large language models to induce soft failures. |
From Query to Counsel: Structured Reasoning with a Multi-Agent Framework and Dataset for Legal Consultation (2026.acl-long)
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| Challenge: | Legal consultation question answering presents unique challenges compared to traditional legal QA tasks . |
| Approach: | They propose a framework that converts queries into a legal element graph . jurisMA supports dynamic routing, statutory grounding, and stylistic optimization . |
| Outcome: | The proposed framework outperforms general-purpose and legal-domain LLMs across multiple lexical and semantic metrics. |
Better Pre-Training by Reducing Representation Confusion (2023.findings-eacl)
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| Challenge: | Existing methods to improve pre-trained language models address information confusion in position encoding and model representations. |
| Approach: | They propose two techniques to improve pre-trained language models by decoupling directions and auxiliary regularizers. |
| Outcome: | The proposed techniques can improve pre-trained language models on GLUE benchmarks. |