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Personalization, the ability to tailor a system to individual users, is an essential factor in user experience with natural language processing (NLP) systems.
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Returning the N to NLP: Towards contextually personalized classification models. In Proceedings of the 58th annual meeting of the association for computational linguistics . 7828–7838
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End-to-End User Behavior Retrieval in Click-Through RatePrediction Model
Qiwei Chen, Changhua Pei, Shanshan Lv, Chao Li, Junfeng Ge, and Wenwu Ou. 2021 · 2021
Cited alongside, same era.
Pchatbot: a large-scale dataset for personalized chatbot. In Proceedings of the 44th international ACM SIGIR conference on research and development in information retrieval . 2470–2477
Hongjin Qian, Xiaohe Li, Hanxun Zhong, Yu Guo, Yueyuan Ma, Yutao Zhu, Zhanliang Liu, Zhicheng Dou, and Ji-Rong Wen. 2021 · 2021
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Task-aware retrieval with instructions
Akari Asai, Timo Schick, Patrick Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, and Wen-tau Yih. 2022 · 2022
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Scaling instruction-finetuned language models
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How Many Demonstrations Do You Need for In-context Learning?
Jiuhai Chen, Lichang Chen, Chen Zhu, and Tianyi Zhou. 2023 · 2023
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PALR: Personalization Aware LLMs for Recommendation
Zheng Chen. 2023 · 2023
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Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality
Wei-Lin Chiang, Zhuohan Li, Zi Lin, Ying Sheng, Zhanghao Wu, Hao Zhang, Lianmin Zheng, Siyuan Zhuang, Yonghao Zhuang, Joseph E. Gonzalez, Ion Stoica, and Eric P. Xing. 2023 · 2023
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GPT4Rec: A generative framework for personalized recommendation and user interests interpretation
Jinming Li, Wentao Zhang, Tian Wang, Guanglei Xiong, Alan Lu, and Gerard Medioni. 2023 · 2023
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Personalization and Relevance in NLG. In Companion Proceedings of the Web Conference 2022 . 1178–1178
Shiran Dudy. 2022 · 2022
Cited alongside, same era.
AI and Personalization
Omid Rafieian and Hema Yoganarasimhan. 2022 · 2022
Cited alongside, same era.
Rethinking personalized ranking at Pinterest: An end-to-end approach. In Proceedings of the 16th ACM Conference on Recommender Systems . 502–505
Jiajing Xu, Andrew Zhai, and Charles Rosenberg. 2022 · 2022
Cited alongside, same era.
Alireza Salemi, Sheshera Mysore, Michael Bendersky, and Hamed Zamani. 2023 · 2023
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LLaMA: open and efficient foundation language models, 2023
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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Judging LLM-as-a-judge with MT-Bench and Chatbot Arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric Xing, et al · 2023
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