Query in Your Tongue: Reinforce Large Language Models with Retrievers for Cross-lingual Search Generative Experience

P Guo, Y Hu, Y Cao, Y Ren, Y Li, H Huang - Proceedings of the ACM on …, 2024 - dl.acm.org
In the contemporary digital landscape, search engines play an invaluable role in information
access, yet they often face challenges in Cross-Lingual Information Retrieval (CLIR) …

Breaking Boundaries in Retrieval Systems: Unsupervised Domain Adaptation with Denoise-Finetuning

C Chen, C Yang, CY Lin, HY Kao - Findings of the Association for …, 2023 - aclanthology.org
Dense retrieval models have exhibited remarkable effectiveness, but they rely on abundant
labeled data and face challenges when applied to different domains. Previous domain …