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Si-Yuan Chai

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#artificial intelligence Open access Jul 2026

Generative Retrieval for Unsupervised Text-Based Person Search.

This paper explores unsupervised TBPS, with only unlabeled images, and proposes GTR, a two-stage generation-then-retrieval framework for text-based person search, and contributes LargeFine-Person, a large-scale TBPS dataset with high-quality, fine-grained, and diverse textual annotations.

Mang Ye, Yucheng Ji, Yang Bai et al. · 0 citations
#artificial intelligence Review Sep 2026

Harbor Adapters and Harbor-Index: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation

Harbor Adapters are developed that port more than 80 benchmarks to evaluate arbitrary agents, and validated through rigorous code review and parity experiments, and Harbor-Index is introduced, a curated set of 82 difficult, diverse, and high-quality tasks spanning 29 benchmarks to support more reliable and comprehensiv...

Lin Shi, Hao-Wei Lin, Zi-Xuan Zhu et al. · 1 citation

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