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This work proposes ToolSearcher, a novel RL framework for effective multi-turn search and fine-grained optimization in large-scale tool selection, which introduces category-constrained tool discrimination to improve the model's ability to distinguish functionally similar tools.
Text-Based Person Retrieval (TBPR) aims to locate a person in an image database based on a natural language description. While effective in theory, TBPR faces substantial challenges in real-world scenarios due to noisy correspondences—misaligned or weakly related image-text pairs—that significantly degrade retrieval pe...
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