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Recommender models excel at providing domain-specific item recommendations by leveraging extensive user behavior data.
Language models are few-shot learners
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Feature selection methods for conversational recommender systems
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Towards conversational recommender systems
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Self-attentive sequential recommendation
Kang, W.-C.; and McAuley, J. 2018 · 2018
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Towards deep conversational recommendations
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Towards conversational search and recommendation: System ask, user respond
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Learning to ask: Question-based sequential Bayesian product search
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What does bert know about books, movies and music? probing bert for conversational recommendation
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Towards question-based recommender systems
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Advances and challenges in conversational recommender systems: A survey
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What Makes Good In-Context Examples for GPT- 3 3 ?
Liu, J.; Shen, D.; Zhang, Y.; Dolan, B.; Carin, L.; and Chen, W. 2021 · 2021
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Webgpt: Browser-assisted question-answering with human feedback
Nakano, R.; Hilton, J.; Balaji, S.; Wu, J.; Ouyang, L.; Kim, C.; Hesse, C.; Jain, S.; Kosaraju, V.; Saunders, W.; et al. 2021 · 2021
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Learning to retrieve prompts for in-context learning
Rubin, O.; Herzig, J.; and Berant, J. 2021 · 2021
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Recindial: A unified framework for conversational recommendation with pretrained language models
Wang, L.; Hu, H.; Sha, L.; Xu, C.; Wong, K.-F.; and Jiang, D. 2021 · 2021
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Comparison-based conversational recommender system with relative bandit feedback
Xie, Z.; Yu, T.; Zhao, C.; and Li, S. 2021 · 2021
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Adapting user preference to online feedback in multi-round conversational recommendation
Xu, K.; Yang, J.; Xu, J.; Gao, S.; Guo, J.; and Wen, J.-R. 2021 · 2021
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Chen, W.; Ma, X.; Wang, X.; and Cohen, W. W. 2022 · 2022
Uncovering ChatGPT’s Capabilities in Recommender Systems
Dai, S.; Shao, N.; Zhao, H.; Yu, W.; Si, Z.; Xu, C.; Sun, Z.; Zhang, X.; and Xu, J. 2023 · 2023
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Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction
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Toolformer: Language models can teach themselves to use tools
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Large language models are zero-shot reasoners
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Training language models to follow instructions with human feedback
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Chain-of-thought prompting elicits reasoning in large language models
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Judging LLM-as-a-judge with MT-Bench and Chatbot Arena
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