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    <abstract>We present the first domain-adapted and fully-trained large language model, RecGPT-7B, and its instruction-following variant, RecGPT-7B-Instruct, for text-based recommendation. Experimental results on rating prediction and sequential recommendation tasks show that our model, RecGPT-7B-Instruct, outperforms previous strong baselines. We are releasing our RecGPT models as well as their pre-training and fine-tuning datasets to facilitate future research and downstream applications in text-based recommendation. Public “huggingface” links to our RecGPT models and datasets are available at: https://github.com/VinAIResearch/RecGPT</abstract>
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%0 Conference Proceedings
%T RecGPT: Generative Pre-training for Text-based Recommendation
%A Ngo, Hoang
%A Nguyen, Dat Quoc
%Y Ku, Lun-Wei
%Y Martins, Andre
%Y Srikumar, Vivek
%S Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2024
%8 August
%I Association for Computational Linguistics
%C Bangkok, Thailand
%F ngo-nguyen-2024-recgpt
%X We present the first domain-adapted and fully-trained large language model, RecGPT-7B, and its instruction-following variant, RecGPT-7B-Instruct, for text-based recommendation. Experimental results on rating prediction and sequential recommendation tasks show that our model, RecGPT-7B-Instruct, outperforms previous strong baselines. We are releasing our RecGPT models as well as their pre-training and fine-tuning datasets to facilitate future research and downstream applications in text-based recommendation. Public “huggingface” links to our RecGPT models and datasets are available at: https://github.com/VinAIResearch/RecGPT
%U https://aclanthology.org/2024.acl-short.29
%P 302-313

Markdown (Informal)

[RecGPT: Generative Pre-training for Text-based Recommendation](https://aclanthology.org/2024.acl-short.29) (Ngo & Nguyen, ACL 2024)

• RecGPT: Generative Pre-training for Text-based Recommendation (Ngo & Nguyen, ACL 2024)

ACL

• Hoang Ngo and Dat Quoc Nguyen. 2024. RecGPT: Generative Pre-training for Text-based Recommendation. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 302–313, Bangkok, Thailand. Association for Computational Linguistics.