Papers by Xikang Yang
CoT-VTM: Visual-to-Music Generation with Chain-of-Thought Reasoning (2025.findings-acl)
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| Challenge: | Existing methods for visual-to-music generation lack large-scale, high-quality visual-music paired datasets and lack of direct semantic correspondence between visuals and music. |
| Approach: | They propose a framework that distills Chain-of-Thought reasoning to enable visual-to-music generation without paired data. |
| Outcome: | The proposed framework achieves optimal performance on image-to-music and video-to music tasks. |
Chain of Attack: Hide Your Intention through Multi-Turn Interrogation (2025.findings-acl)
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| Challenge: | Existing jailbreak attacks focus on single-turn dialogue scenarios, leaving vulnerabilities in multi-turn contexts inadequately explored. |
| Approach: | They propose an optimal interrogation principle to conceal the jailbreak intent and introduce a multi-turn attack chain generation strategy called CoA. |
| Outcome: | The proposed method shows that black-box LLMs exhibit insufficient resistance under multi-turn interrogation, with more advantages (ASR, 83% vs 64%) |