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Recent work on evaluating the diversity of text generated by LLMs has focused on word-level features.
Assessing bert’s syntactic abilities
Yoav Goldberg. 2019 · 1901
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Jointly measuring diversity and quality in text generation models
Ehsan Montahaei, Danial Alihosseini, and Mahdieh Soleymani Baghshah. 2019 · 1904
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A computational theory of goal-directed style in syntax
Chrysanne DiMarco and Graeme Hirst. 1993 · 1993
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The penn treebank: an overview
Ann Taylor, Mitchell Marcus, and Beatrice Santorini. 2003 · 2003
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Cochrane handbook for systematic reviews of interventions
Julian P T Higgins and Sally Green. 2010 · 2010
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Reformulating unsupervised style transfer as paraphrase generation
Kalpesh Krishna, John Wieting, and Mohit Iyyer. 2020 · 2010
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Decoding and diversity in machine translation
Nicholas Roberts, Davis Liang, Graham Neubig, and Zachary C Lipton. 2020 · 2011
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Text reuse detection using a composition of text similarity measures
Daniel Bär, Torsten Zesch, and Iryna Gurevych. 2012 · 2012
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Text-based measures of document diversity
Kevin Bache, David Newman, and Padhraic Smyth. 2013 · 2013
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Abstractive text summarization using sequence-to-sequence rnns and beyond
Ramesh Nallapati, Bowen Zhou, Caglar Gulcehre, Bing Xiang, et al. 2016 · 2016
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On the relevance of syntactic and discourse features for author profiling and identification
Juan Soler-Company and Leo Wanner. 2017 · 2017
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Multiple-attribute text rewriting
Guillaume Lample, Sandeep Subramanian, Eric Michael Smith, Ludovic Denoyer, Marc’Aurelio Ranzato, and Y-Lan Boureau. 2018 · 2018
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Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, and Alexander Miller. 2019 · 2019
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The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2020 · 2020
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Evaluating the factual consistency of abstractive text summarization
Wojciech Kryściński, Bryan McCann, Caiming Xiong, and Richard Socher. 2020 · 2020
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Rotten tomatoes movies and critic reviews dataset
Stefano Leone. 2020 · 2020
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On the dangers of stochastic parrots: Can language models be too big?
Emily M Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021 · 2021
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Generating (factual?) narrative summaries of rcts: Experiments with neural multi-document summarization
Byron C. Wallace, Sayantani Saha, Frank Soboczenski, and Iain James Marshall. 2020 · 2021
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Quantifying memorization across neural language models
Nicholas Carlini, Daphne Ippolito, Matthew Jagielski, Katherine Lee, Florian Tramer, and Chiyuan Zhang. 2022 · 2022
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Is gpt-3 text indistinguishable from human text? scarecrow: A framework for scrutinizing machine text
Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, Noah A Smith, and Yejin Choi. 2022 · 2022
Cited alongside, same era.
How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN
R. Thomas McCoy, Paul Smolensky, Tal Linzen, Jianfeng Gao, and Asli Celikyilmaz. 2023 · 2023
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Does writing with language models reduce content diversity?
Vishakh Padmakumar and He He. 2023 · 2023
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Stanford alpaca: An instruction-following llama model
Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li, Carlos Guestrin, Percy Liang, and Tatsunori B. Hashimoto. 2023 · 2023
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A survey on llm-gernerated text detection: Necessity, methods, and future directions
Junchao Wu, Shu Yang, Runzhe Zhan, Yulin Yuan, Derek F Wong, and Lidia S Chao. 2023 · 2023
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Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 2023
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Self-repetition in abstractive neural summarizers
Nikita Salkar, Thomas Trikalinos, Byron Wallace, and Ani Nenkova. 2022 · 2022
Cited alongside, same era.
Self-instruct: Aligning language models with self-generated instructions
Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, and Hannaneh Hajishirzi. 2022 · 2022
Cited alongside, same era.
On decoding strategies for neural text generators
Gian Wiher, Clara Meister, and Ryan Cotterell. 2022 · 2022
Cited alongside, same era.
Semgrex and ssurgeon, searching and manipulating dependency graphs
John Bauer, Chloé Kiddon, Eric Yeh, Alex Shan, and Christopher D. Manning. 2023 · 2023
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Booookscore: A systematic exploration of book-length summarization in the era of llms
Yapei Chang, Kyle Lo, Tanya Goyal, and Mohit Iyyer. 2023 · 2023
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Ultrafeedback: Boosting language models with high-quality feedback
Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Wei Zhu, Yuan Ni, Guotong Xie, Zhiyuan Liu, and Maosong Sun. 2023 · 2023
Cited alongside, same era.
Yanai Elazar, Akshita Bhagia, Ian Magnusson, Abhilasha Ravichander, Dustin Schwenk, Alane Suhr, Pete Walsh, Dirk Groeneveld, Luca Soldaini, Sameer Singh, et al. 2023 · 2023
Cited alongside, same era.
Later among the works it cites.
Cosmopedia
Loubna Ben Allal, Anton Lozhkov, Guilherme Penedo, Thomas Wolf, and Leandro von Werra. 2024 · 2024
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Skill-it! a data-driven skills framework for understanding and training language models
Mayee Chen, Nicholas Roberts, Kush Bhatia, Jue Wang, Ce Zhang, Frederic Sala, and Christopher Ré. 2024 · 2024
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