{"repo":"weichow23/merit","free":true,"listed":false,"github":"https://github.com/weichow23/merit","clone":"git clone https://github.com/weichow23/merit.git","description":"Official Repo for Paper <MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query>","language":"Python","stars":19,"topics":["interleaved","retrieval","vlm","ecommerce"],"license":"Apache-2.0","category":"ecommerce","readme_excerpt":"MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query Wei Chow 1 , Yuan Gao 1 , Linfeng Li 1 , Xian Wang 1 , Qi Xu 1 , Hang Song 1 , Lingdong Kong 1 , Ran Zhou 1 , Yi Zeng 1 , Yidong Cai 1 , Botian Jiang 1 , Shilin Xu 1 , Jiajun Zhang 1 , Minghui Qiu 1 , Xiangtai Li 1 , Tianshu Yang 1 , Siliang Tang 2 , Juncheng Li 2 1 Bytedance, 2 Zhejiang University Equal Contribution NeurIPS 2025 🚀 Project Introduction Semantic retrieval is crucial for modern applications yet remains underexplored in current research. Existing datasets are limited to single languages, single images, or singular retrieval conditions, often failing to fully exploit the expressive capacity of visual information as evidenced by maintained performance when images are replaced with captions. However, practical retrieval scenarios frequently involve interleaved multi-condition queries with multiple images. Hence, this paper introduces MERIT, the first multilingual dataset for interleaved multi-condition semantic retrieval, comprising 320,000 queries with 135,000 products in 5 languages, covering 7 distinct product categories. Extensive experiments on MERIT identify existing models's limitation: focusing solely on global semantic information while neglecting specific conditional elements in queries. Consequently, we propose Coral, a novel fine-tuning framework that adapts pre-trained MLLMs by integrating embedding reconstruction to preserve fine-grained conditional elements and contrastive","default_branch":null,"files":null,"tree":[],"storefront":"/r/weichow23","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/weichow23/merit/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}