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Xusen Yin

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Articles

SoftQE: Learned Representations of Queries Expanded by LLMs

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By John Heyer, Xusen Yin, Sameer Gupta
| arXiv
arXiv:2402.12663 (cs) Download PDF HTML (experimental) Comments: Subjects: Computation and Language (cs.CL); Information Retrieval (cs.IR); Machine Learning (cs.LG) Cite as: arXiv:2402.12663 [cs.CL] (or arXiv:2402.12663v1 [cs.CL] for this version) https://doi.org/10.48550/arXiv.2402.12663 Submission history From: John Heyer [ view email] [v1] Tue, 20 Feb 2024 02:23:15 UTC (2,240 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What is...
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SoftQE: Learned representations of queries expanded by LLMs

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By John Heyer, Sameer Gupta, Varad Pimpalkhute, Xusen Yin
| Amazon Science
We investigate the integration of Large Language Models (LLMs) into query encoders to improve dense retrieval without increasing latency and cost, by circumventing the dependency on LLMs at inference time. SoftQE incorporates knowledge from LLMs by mapping embeddings of input queries to those of the LLM-expanded queries.
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