Yingyi Zhang

Combining text, images, and audio from academic papers can dramatically boost keyword extraction accuracy, revealing the untapped potential of multimodal data.

Formulaic expression desensitization not only boosts dataset scale but also enhances model generalization in extracting key sentences from scientific literature.

EEG signals can dramatically enhance keyphrase extraction from microblogs, outperforming traditional eye-tracking methods alone.

Achieving superior accuracy-efficiency trade-offs, ParetoPO redefines how tool-integrated agents can be optimized for real-world applications.

Fine-tuning LLMs for automated detection of quotation errors reveals that using source abstracts dramatically boosts accuracy in citation integrity.

Reranking in recommender systems can be revolutionized by shifting from local indices to generating global identifiers, enhancing robustness and user satisfaction.