Fetching the paper…
Reading the bibliography…
In this paper, we evaluate the creative fiction writing abilities of a fine-tuned small language model (SLM), BART-large, and compare its performance to human writers and two large language models (LLMs): GPT-3.5 and GPT-4o.
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019 · 1910
Earlier work this paper cites.
A critique and improvement of the cl common language effect size statistics of mcgraw and wong
András Vargha and Harold D Delaney. 2000 · 2000
Earlier work this paper cites.
It’s not just size that matters: Small language models are also few-shot learners
Timo Schick and Hinrich Schütze. 2020 · 2009
Earlier work this paper cites.
It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
Timo Schick and Hinrich Schütze. 2021 · 2009
Earlier work this paper cites.
Learning latent personas of film characters
David Bamman, Brendan O’Connor, and Noah A. Smith. 2013 · 2013
Earlier work this paper cites.
Fitting linear mixed-effects models using lme4
Douglas Bates, Martin Mächler, Ben Bolker, and Steve Walker. 2014 · 2014
Earlier work this paper cites.
Using generalized linear (mixed) models in hci
Maurits Kaptein. 2016 · 2016
Earlier work this paper cites.
lmertest package: tests in linear mixed effects models
Alexandra Kuznetsova, Per B Brockhoff, and Rune HB Christensen. 2017 · 2017
Earlier work this paper cites.
MPST: A corpus of movie plot synopses with tags
Sudipta Kar, Suraj Maharjan, A. Pastor López-Monroy, and Thamar Solorio. 2018 · 2018
Earlier work this paper cites.
How many words do we read per minute? a review and meta-analysis of reading rate
Marc Brysbaert. 2019 · 2019
Earlier work this paper cites.
Do massively pretrained language models make better storytellers?
Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, and Christopher D. Manning. 2019 · 2019
Cited alongside, same era.
Wikipedia. 2019 · 2019
Cited alongside, same era.
Computational creativity: the final frontier?
Simon Colton and Geraint A. Wiggins. 2021 · 2021
Cited alongside, same era.
Creativity and Machine Learning: A Survey
Giorgio Franceschelli and Mirco Musolesi. 2022 · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022 · 2022
Cited alongside, same era.
A survey on evaluation of large language models
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, et al. 2024 · 2024
Closest in time.
What is the Role of Small Models in the LLM Era: A Survey
Lihu Chen and Gaël Varoquaux. 2024 · 2024
Closest in time.
Albert Q Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, et al. 2024 · 2024
Closest in time.
Pron vs prompt: Can large language models already challenge a world-class fiction author at creative text writing?
Guillermo Marco, Julio Gonzalo, M.Teresa Mateo-Girona, and Ramón Del Castillo Santos. 2024 · 2024
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023 · 2023
Cited alongside, same era.
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
Ronen Eldan and Yuanzhi Li. 2023 · 2023
Cited alongside, same era.
Introducing Phi-3: Redefining what’s possible with SLMs
Misha Bilenko. 2024 · 2024
Cited alongside, same era.
Art or Artifice? Large Language Models and the False Promise of Creativity
Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal, Smaranda Muresan, and Chien-Sheng Wu. 2024 · 2024
Cited alongside, same era.
Thomas Mesnard, Cassidy Hardin, Robert Dadashi, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, et al. 2024 · 2024
Closest in time.
Is temperature the creativity parameter of large language models?
Max Peeperkorn, Tom Kouwenhoven, Dan Brown, and Anna Jordanous. 2024 · 2024
Closest in time.
Ai-generated poetry is indistinguishable from human-written poetry and is rated more favorably
Brian Porter and Edouard Machery. 2024 · 2024
Closest in time.
Small but funny: A feedback-driven approach to humor distillation
Sahithya Ravi, Patrick Huber, Akshat Shrivastava, Vered Shwartz, and Arash Einolghozati. 2024 · 2024
Closest in time.
Weaver: Foundation models for creative writing
Tiannan Wang, Jiamin Chen, Qingrui Jia, Shuai Wang, Ruoyu Fang, Huilin Wang, Zhaowei Gao, Chunzhao Xie, Chuou Xu, Jihong Dai, et al. 2024 · 2024
Closest in time.