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Search & information retrieval

Improving how people discover, understand, and use information through advances in search and retrieval.

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Large Search Model: Redefining Search Stack in the Era of LLMs

Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei

SIGIR Forum | December 2023, 巻57(2)

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NeurIPs 2020: MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval

November 16, 2023

We introduce MosAIc, an interactive website that allows users to discover hidden connections between works of art across culture, media, artists, and time. MosAIc finds “visual analogies”, or works of art with the same semantic…

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KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval

Marah I Abdin, Suriya Gunasekar, Varun Chandrasekaran, Jerry Li, Mert Yuksekgonul, Rahee Peshawaria, Ranjita Naik, Besmira Nushi

October 2023

arXiv | October 2023

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Harnessing GPT for Topic-Based Call Segmentation in Microsoft Dynamics 365 Sales

Itzik Malkiel, Uri Alon, Yakir Yehdua, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein

International Conference on Information and Knowledge Management | October 2023

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Auto Search Indexer for End-to-End Document Retrieval

Tianchi Yang, Minghui Song, Zihan Zhang, Haizhen Huang, Weiwei Deng, Feng Sun, Qi Zhang

Conference on Empirical Methods in Natural Language Processing | October 2023

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Fine-Tuning LLaMA for Multi-Stage Text Retrieval

Xueguang Ma, Liang Wang, Nan Yang, Furu Wei, Jimmy Lin

SIGIR 2024 | October 2023

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Model-enhanced Vector Index

Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui

NeurIPS 2023 | October 2023

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