Papers by Jiazhen Du

2 papers
DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering (2025.acl-long)

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Challenge: Existing approaches to multi-hop question answering struggle to identify and organize dynamic knowledge . et al., 2023; Liu e.t. al. 2023) suggest a dual-process framework for multi-step reasoning .
Approach: They propose a synergistic dual-process framework that integrates reasoning and retrieval.
Outcome: The proposed framework improves answer accuracy and coherence even in smaller-scale models.
Unlearners Can Lie: Evaluating and Improving Honesty in LLM Unlearning (2026.acl-long)

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Challenge: Existing methods for unlearning in large language models often hallucinate, generate abnormal token sequences, or behave inconsistently, raising safety and trust concerns.
Approach: They propose a formal definition of unlearning honesty that preserves both utility and honesty on retained knowledge and ensures effective forgetting while encouraging the model to acknowledge its limitations.
Outcome: The proposed method achieves highest rejection rate and refusal stability on Q A tasks from the forget set, nearly double the second-best method.

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