Papers by Mingkai Tian

2 papers
The Devil is in the Distributions: Explicit Modeling of Scene Content is Key in Zero-Shot Video Captioning (2026.findings-eacl)

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Challenge: Existing methods for zero-shot video captioning focus on one key aspect of the scene and ignore the rest of the visual input.
Approach: They propose a novel textual prompting strategy for zero-shot video captioning that uses a category-aware retrieval mechanism to promote prompt diversity while ensuring visual relevance.
Outcome: The proposed method outperforms existing methods on in-domain and cross-domain settings.
From Short Video to Clickable Search: RLVR-Enabled Listwise Query Suggestion with Retrieval-Augmented Context (2026.acl-industry)

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Challenge: Existing methods to generate short-video bottom-bar queries are largely retrieval-based.
Approach: They propose to reformulate the task as one-shot list generation, producing multiple queries per video . they also build multi-query ground truth from exposure and CTR logs, and redesign offline evaluation .
Outcome: The proposed system yields strong offline and online improvements . it is deployed on Kuaishou to serve hundreds of millions of users daily .

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