Papers by Jinrui Zhang

2 papers
Towards Open-Domain Topic Classification (2022.naacl-demo)

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Challenge: Existing supervised classification models are insensitive to class names, but are no longer effective in open-domain tasks where the taxonomy is unbounded.
Approach: They propose a topic classification system that accepts user-defined taxonomy in real time . they train a pretrained language model on a new Wikipedia dataset and train it on Wikipedia .
Outcome: The proposed system improves over existing zero-shot models and performs competitively with weakly-supervised models trained on in-domain data.
Seeing More, Saying More: Lightweight Language Experts are Dynamic Video Token Compressors (2025.emnlp-main)

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Challenge: Existing methods for converting visual tokens into tokens are limited by their high volume . et al., 2023; Zheng e.t., 2023): a revolution in video understanding.
Approach: They propose a language-aware dynamic token compression system that converts video clips into soft caption tokens as visual representations.
Outcome: The proposed method reduces FLOPs by 49% while maintaining competitive performance.

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