Papers by Longzhu He

3 papers
Alignment-Enhanced Decoding: Defending Jailbreaks via Token-Level Adaptive Refining of Probability Distributions (2024.emnlp-main)

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Challenge: Existing defenses against jailbreaks focus on perturbing or inspecting inputs, but ignore competing objectives, the underlying cause of alignment failures.
Approach: They propose a novel defense that employs adaptive decoding to address the root causes of jailbreak issues.
Outcome: The proposed defense improves safety alignment while maintaining helpfulness.
Beyond the Textual: Generating Coherent Visual Options for MCQs (2025.findings-emnlp)

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Challenge: Multiple choice questions (MCQs) are crucial for deep thinking and knowledge integration in education.
Approach: They propose a cross-modal options synthesis framework for generating MCQs with visual options.
Outcome: The proposed framework produces a plausible and visually similar answer and distractor . it also includes a discrimination module to identify content suitable for visual options .
Learning to Edit Knowledge via Instruction-based Chain-of-Thought Prompting (2026.acl-long)

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Challenge: Existing knowledge editing methods focus on structured fact triples, overlooking diverse unstructured forms of factual information.
Approach: They propose a method that allows LLMs to edit knowledge via **Chain of Thoughts** reasoning.
Outcome: The proposed method achieves strong generalization across six diverse knowledge editing scenarios with a single round of training on three open-source language models.

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