Help me write a Poem - Instruction Tuning as a Vehicle for Collaborative Poetry Writing
Tuhin Chakrabarty, Vishakh Padmakumar, He He
摘要
Recent work in training large language models (LLMs) to follow natural language instructions has opened up exciting opportunities for natural language interface design. Building on the prior success of LLMs in the realm of computer-assisted creativity, we aim to study if LLMs can improve the quality of usergenerated content through collaboration. We present CoPoet, a collaborative poetry writing system. In contrast to auto-completing a user's text, CoPoet is controlled by user instructions that specify the attributes of the desired text, such as Write a sentence about 'love' or Write a sentence ending in 'fly'. The core component of our system is a language model finetuned on a diverse collection of instructions for poetry writing. Our model is not only competitive with publicly available LLMs trained on instructions (InstructGPT), but is also capable of satisfying unseen compositional instructions. A study with 15 qualified crowdworkers shows that users successfully write poems with CoPoet on diverse topics ranging from Monarchy to Climate change. Further, the collaboratively written poems are preferred by third-party evaluators over those written without the system. 1 * Both Authors Contributed Equally 1 Our code, preprocessed data, models, and the interaction logs from our user study are available at https://github. com/vishakhpk/creative-instructions
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引用它的顶会 Paper25
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它引用的顶会 Paper10
- Language Models are Few-Shot LearnersTom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah 等NeurIPS 2020 · 被引用 64,255 次
- Training language models to follow instructions with human feedbackLong Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida 等NeurIPS 2022 · 被引用 24,707 次
- Finetuned Language Models are Zero-Shot LearnersJason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu 等ICLR 2022 · 被引用 4,966 次
- The Curious Case of Neural Text DegenerationAri Holtzman, Jan Buys, Li Du, Maxwell Forbes 等ICLR 2020 · 被引用 4,112 次
- Cross-Task Generalization via Natural Language Crowdsourcing InstructionsSwaroop Mishra, Daniel Khashabi, Chitta Baral, Hannaneh HajishirziACL 2022 · 被引用 887 次
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