Papers by Chenkai Xu

2 papers
UniCM: A Unified Consistency Model For Efficient Multimodal Generation and Understanding (2026.findings-acl)

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Challenge: Consistency models (CMs) have shown promise in the efficient generation of both image and text.
Approach: They propose to use a discrete token for both image and text generation to achieve a unified denoising perspective.
Outcome: The proposed model outperforms SD3 on GenEval and Image Reward while being 1.5 faster at long-sequence generating speed.
Incorporating Task-Specific Concept Knowledge into Script Learning (2023.eacl-main)

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Challenge: Existing work on Goal-Oriented Scripts ignore usage context and personal preferences . proposed tasks are restrictive and rely on overly simplified assumptions .
Approach: They propose a novel approach to Goal-Oriented Script Completion that uses concept prompting and script-oriented contrastive learning to improve performance.
Outcome: The proposed approach improves on a WikiHow-based dataset.

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