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Leveraging users' long engagement histories is essential for personalized content recommendations.
Roberta: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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News recommendation with candidate-aware user modeling
Tao Qi, Fangzhao Wu, Chuhan Wu, and Yongfeng Huang. 2022 · 1921
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Embedding-based news recommendation for millions of users
Shumpei Okura, Yukihiro Tagami, Shingo Ono, and Akira Tajima. 2017 · 1942
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The TREC-8 question answering track report
Ellen M. Voorhees. 1999 · 1999
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Cumulated gain-based evaluation of IR techniques
Kalervo Järvelin and Jaana Kekäläinen. 2002 · 2002
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Methods and metrics for cold-start recommendations
Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, and David M. Pennock. 2002 · 2002
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An introduction to ROC analysis
Tom Fawcett. 2006 · 2006
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Addressing cold-start problem in recommendation systems
Xuan Nhat Lam, Thuc Vu, Trong Duc Le, and Anh Duc Duong. 2008 · 2008
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Factorization machines
Steffen Rendle. 2010 · 2010
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GloVe: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
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Learning to refine text based recommendations
Youyang Gu, Tao Lei, Regina Barzilay, and Tommi Jaakkola. 2016 · 2016
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Fusing similarity models with markov chains for sparse sequential recommendation
Ruining He and Julian J. McAuley. 2016 · 2016
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Item recommendation on monotonic behavior chains
Mengting Wan and Julian J. McAuley. 2018 · 2018
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Neural news recommendation with long- and short-term user representations
Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, and Xing Xie. 2019 · 2019
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Samuel Humeau, Kurt Shuster, Marie-Anne Lachaux, and Jason Weston. 2019 · 2019
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Neural news recommendation with attentive multi-view learning
Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, and Xing Xie. 2019a · 2019
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NPA: neural news recommendation with personalized attention
Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, and Xing Xie. 2019b · 2019
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Neural news recommendation with multi-head self-attention
Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang, and Xing Xie. 2019c · 2019
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Longformer: The Long-Document Transformer
Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020 · 2020
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Recurrent chunking mechanisms for long-text machine reading comprehension
Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen, and Dong Yu. 2020 · 2020
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BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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RecoBERT: A catalog language model for text-based recommendations
Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, and Noam Koenigstein. 2020 · 2020
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Boosting deep CTR prediction with a plug-and-play pre-trainer for news recommendation
Qijiong Liu, Jieming Zhu, Quanyu Dai, and Xiao-Ming Wu. 2022 · 2022
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News recommendation via multi-interest news sequence modelling
Rongyao Wang, Shoujin Wang, Wenpeng Lu, and Xueping Peng. 2022 · 2022
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Gemini: A family of highly capable multimodal models
Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M. Dai, Anja Hauth, Katie Millican, David Silver, Slav Petrov, Melvin Johnson, Ioannis Antonoglou, Julian Schrittwieser, Amelia Glaese, Jilin Chen, Emily Pitler, Timothy P. Lillicrap, Angeliki Lazaridou, Orhan Firat, James Molloy, Michael Isard, Paul Ronald Barham, Tom Hennigan, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, Ryan Doherty, Eli Collins, Clemens Meyer, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, George Tucker, Enrique Piqueras, Maxim Krikun, Iain Barr, Nikolay Savinov, Ivo Danihelka, Becca Roelofs, Anaïs White, Anders Andreassen, Tamara von Glehn, Lakshman Yagati, Mehran Kazemi, Lucas Gonzalez, Misha Khalman, Jakub Sygnowski, and et al. 2023 · 2023
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LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models
Chi Han, Qifan Wang, Wenhan Xiong, Yu Chen, Heng Ji, and Sinong Wang. 2023 · 2023
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MIND: A large-scale dataset for news recommendation
Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, and Ming Zhou. 2020 · 2020
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Big bird: Transformers for longer sequences
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, and Amr Ahmed. 2020 · 2020
Cited alongside, same era.
Leveraging passage retrieval with generative models for open domain question answering
Gautier Izacard and Edouard Grave. 2021 · 2021
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Gender and representation bias in GPT-3 generated stories
Li Lucy and David Bamman. 2021 · 2021
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HieRec: Hierarchical user interest modeling for personalized news recommendation
Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, and Yongfeng Huang. 2021 · 2021
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NewsBERT: Distilling pre-trained language model for intelligent news application
Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, and Qi Liu. 2021c · 2021
Cited alongside, same era.
UNBERT: User-News Matching BERT for News Recommendation
Qi Zhang, Jingjie Li, Qinglin Jia, Chuyuan Wang, Jieming Zhu, Zhaowei Wang, and Xiuqiang He. 2021 · 2021
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NewsRecLib: A PyTorch-Lightning Library for Neural News Recommendation
Andreea Iana, Goran Glavaš, and Heiko Paulheim. 2023 · 2023
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Towards mitigating LLM hallucination via self reflection
Ziwei Ji, Tiezheng Yu, Yan Xu, Nayeon Lee, Etsuko Ishii, and Pascale Fung. 2023 · 2023
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Legommenders: A modular framework for recommender systems
Qijiong Liu. 2023 · 2023
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Macaw-llm: Multi-modal language modeling with image, audio, video, and text integration
Chenyang Lyu, Minghao Wu, Longyue Wang, Xinting Huang, Bingshuai Liu, Zefeng Du, Shuming Shi, and Zhaopeng Tu. 2023 · 2023
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UniTRec: A unified text-to-text transformer and joint contrastive learning framework for text-based recommendation
Zhiming Mao, Huimin Wang, Yiming Du, and Kam-Fai Wong. 2023 · 2023
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OpenAI. 2023 · 2023
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Style over substance: Evaluation biases for large language models
Minghao Wu and Alham Fikri Aji. 2023 · 2023
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Lamini-lm: A diverse herd of distilled models from large-scale instructions
Minghao Wu, Abdul Waheed, Chiyu Zhang, Muhammad Abdul-Mageed, and Alham Fikri Aji. 2023 · 2023
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Candidate-aware dynamic representation for news recommendation
Liancheng Xu, Xiaoxiang Wang, Lei Guo, Jinyu Zhang, Xiaoqi Wu, and Xinhua Wang. 2023 · 2023
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Siren’s song in the AI ocean: A survey on hallucination in large language models
Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang, Yulong Chen, Longyue Wang, Anh Tuan Luu, Wei Bi, Freda Shi, and Shuming Shi. 2023 · 2023
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Context-faithful prompting for large language models
Wenxuan Zhou, Sheng Zhang, Hoifung Poon, and Muhao Chen. 2023 · 2023
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Can small language models be good reasoners for sequential recommendation?
Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, and Xiao Wang. 2024 · 2024
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