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Recently, the fast development of Large Language Models (LLMs) such as ChatGPT has significantly advanced NLP tasks by enhancing the capabilities of conversational models.
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Journal of Machine Learning Research 3 (2003) 1137–1155 Submitted 4/02; Published 2/03 A Neural Probabilistic Language Model
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Wide & deep learning for recommender systems
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A Persona-Based Neural Conversation Model
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Neural rating regression with abstractive tips generation for recommendation
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An overview of multi-task learning in deep neural networks
Ruder, S. 2017 · 2017
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Get To The Point: Summarization with Pointer-Generator Networks
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Attention Is All You Need
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The best of both worlds: Combining recent advances in neural machine translation
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Self-attentive sequential recommendation
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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Fine-tune BERT for Extractive Summarization
Liu, Y. 2019 · 2019
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Hierarchical gating networks for sequential recommendation
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Language models are unsupervised multitask learners
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BERT4Rec: Sequential recommendation with bidirectional encoder representations from transformer
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MMGCN: Multi-modal graph convolution network for personalized recommendation of micro-video
Wei, Y.; Wang, X.; Nie, L.; He, X.; Hong, R.; and Chua, T.-S. 2019 · 2019
GLM: General Language Model Pretraining with Autoregressive Blank Infilling
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Recommendation as language processing (rlp): A unified pretrain, personalized prompt & predict paradigm (p5)
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An ecommerce recommendation algorithm based on link prediction
Liu, G. 2022 · 2022
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P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
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“It is just a flu”: Assessing the Effect of Watch History on YouTube’s Pseudoscientific Video Recommendations
Papadamou, K.; Zannettou, S.; Blackburn, J.; De Cristofaro, E.; Stringhini, G.; and Sirivianos, M. 2022 · 2022
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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NPA: neural news recommendation with personalized attention
Wu, C.; Wu, F.; An, M.; Huang, J.; Huang, Y.; and Xie, X. 2019 · 2019
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Feature-level Deeper Self-Attention Network for Sequential Recommendation
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Recommending what video to watch next: a multitask ranking system
Zhao, Z.; Hong, L.; Wei, L.; Chen, J.; Nath, A.; Andrews, S.; Kumthekar, A.; Sathiamoorthy, M.; Yi, X.; and Chi, E. 2019 · 2019
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The unfairness of popularity bias in music recommendation: A reproducibility study
Kowald, D.; Schedl, M.; and Lex, E. 2020 · 2020
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Mind: A large-scale dataset for news recommendation
Wu, F.; Qiao, Y.; Chen, J.-H.; Wu, C.; Qi, T.; Lian, J.; Liu, D.; Xie, X.; Gao, J.; Wu, W.; et al. 2020 · 2020
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GLM: General Language Model Pretraining with Autoregressive Blank Infilling
Du, Z.; Qian, Y.; Liu, X.; Ding, M.; Qiu, J.; Yang, Z.; and Tang, J. 2021 · 2021
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A Novel Deep Neural-based Music Recommendation Method considering User and Song Data
Singh, J.; Sajid, M.; Yadav, C. S.; Singh, S. S.; and Saini, M. 2022 · 2022
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Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling
Sun, Z.; Yang, J.; Feng, K.; Fang, H.; Qu, X.; and Ong, Y. S. 2022 · 2022
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Decoupled side information fusion for sequential recommendation
Xie, Y.; Zhou, P.; and Kim, S. 2022 · 2022
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GreenPLM: Cross-lingual pre-trained language models conversion with (almost) no cost
Zeng, Q.; Garay, L.; Zhou, P.; Chong, D.; Hua, Y.; Wu, J.; Pan, Y.; Zhou, H.; and Yang, J. 2022 · 2022
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Bang, Y.; Cahyawijaya, S.; Lee, N.; Dai, W.; Su, D.; Wilie, B.; Lovenia, H.; Ji, Z.; Yu, T.; Chung, W.; et al. 2023 · 2023
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Chataug: Leveraging chatgpt for text data augmentation
Dai, H.; Liu, Z.; Liao, W.; Huang, X.; Wu, Z.; Zhao, L.; Liu, W.; Liu, N.; Li, S.; Zhu, D.; et al. 2023 · 2023
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Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System
Gao, Y.; Sheng, T.; Xiang, Y.; Xiong, Y.; Wang, H.; and Zhang, J. 2023 · 2023
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Is ChatGPT a good translator? A preliminary study
Jiao, W.; Wang, W.; Huang, J.-t.; Wang, X.; and Tu, Z. 2023 · 2023
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Li, Y.; and Zhang, Y. 2023 · 2023
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OpenAI. 2023 · 2023
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Stanford Alpaca: An Instruction-following LLaMA model
Taori, R.; Gulrajani, I.; Zhang, T.; Dubois, Y.; Li, X.; Guestrin, C.; Liang, P.; and Hashimoto, T. B. 2023 · 2023
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Llama-adapter: Efficient fine-tuning of language models with zero-init attention
Zhang, R.; Han, J.; Zhou, A.; Hu, X.; Yan, S.; Lu, P.; Li, H.; Gao, P.; and Qiao, Y. 2023 · 2023
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Exploring ai ethics of chatgpt: A diagnostic analysis
Zhuo, T. Y.; Huang, Y.; Chen, C.; and Xing, Z. 2023 · 2023
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Feedrec: News feed recommendation with various user feedbacks
Wu, C.; Wu, F.; Qi, T.; Liu, Q.; Tian, X.; Li, J.; He, W.; Huang, Y.; and Xie, X. 2022 · 2097
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