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This paper addresses the gap between general-purpose text embeddings and the specific demands of item retrieval tasks.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. [n. d.] · 2019
Earlier work this paper cites.
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Tianyu Gao, Xingcheng Yao, and Danqi Chen. 2021 · 2021
Earlier work this paper cites.
Text and code embeddings by contrastive pre-training
Arvind Neelakantan, Tao Xu, Raul Puri, Alec Radford, Jesse Michael Han, Jerry Tworek, Qiming Yuan, Nikolas Tezak, Jong Wook Kim, Chris Hallacy, et al · 2022
Earlier work this paper cites.
Text embeddings by weakly-supervised contrastive pre-training
Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, and Furu Wei. 2022 · 2022
Earlier work this paper cites.
RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder. In EMNLP 2022, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics, 538–548
Shitao Xiao, Zheng Liu, Yingxia Shao, and Zhao Cao. 2022 · 2022
Cited alongside, same era.
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System
Yunfan Gao, Tao Sheng, Youlin Xiang, Yun Xiong, Haofen Wang, and Jiawei Zhang. 2023 · 2023
Cited alongside, same era.
Recommender ai agent: Integrating large language models for interactive recommendations
Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, and Xing Xie. 2023 · 2023
Cited alongside, same era.
Towards general text embeddings with multi-stage contrastive learning
Zehan Li, Xin Zhang, Yanzhao Zhang, Dingkun Long, Pengjun Xie, and Meishan Zhang. 2023 · 2023
Later among the works it cites.
Fine-tuning llama for multi-stage text retrieval
Xueguang Ma, Liang Wang, Nan Yang, Furu Wei, and Jimmy Lin. 2023 · 2023
Later among the works it cites.
C-Pack: Packaged Resources To Advance General Chinese Embedding
Shitao Xiao, Zheng Liu, Peitian Zhang, and Niklas Muennighoff. 2023 · 2023
Later among the works it cites.
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