Author

Deng Cai

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#artificial intelligence Book Open access May 2026

DeGRe: Dense-supervised Generative Reranking for Recommendation

This work proposes DeGRe (Dense-supervised Generative Reranking), a generative reranking framework that bridges the gap between offline exploration and online efficiency through dense supervision, and demonstrates that DeGRe outperforms baseline models on public benchmarks and industrial datasets.

Chaotian Song, Jing-Yao Zhang, Chenghao Chen et al. · Proceedings of the 32nd ACM... · 1 citation

#artificial intelligence Preprint Sep 2026

RegRet: Enhancing Region-Level Retrieval in Large Multimodal Models

RegRet is presented, an LMM-based Region-level Retrieval framework that enhances the regional representations without compromising overall global retrieval performance and designs a multi-stage training pipeline that includes detailed localized captioning and regional contrastive learning tasks.

Xun Liang, Hong-Hui Yang, Weihang Pan et al. · 0 citations