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In many text-generation problems, users may prefer not only a single response, but a diverse range of high-quality outputs from which to choose.
Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin · 2004
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Likert scales and data analyses
I. Elaine Allen and Christopher A. Seaman · 2007
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Compositional pattern producing networks: A novel abstraction of development
Kenneth O Stanley · 2007
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Exploiting open-endedness to solve problems through the search for novelty
Joel Lehman, Kenneth O Stanley, et al · 2008
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An introduction to information retrieval
Christopher D Manning · 2009
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Revising the evolutionary computation abstraction: Minimal criteria novelty search
Joel Lehman and Kenneth O. Stanley · 2010
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Picbreeder: A case study in collaborative evolutionary exploration of design space
Jimmy Secretan, Nicholas Beato, David B. D’Ambrosio, Adelein Rodriguez, Adam Campbell, Jeremiah T. Folsom-Kovarik, and Kenneth O. Stanley · 2011
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Recursive deep models for semantic compositionality over a sentiment treebank
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Y. Ng, and Christopher Potts · 2013
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Robots that can adapt like animals
Antoine Cully, Jeff Clune, Danesh Tarapore, and Jean-Baptiste Mouret · 2015
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Illuminating search spaces by mapping elites
Jean-Baptiste Mouret and Jeff Clune · 2015
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Why greatness cannot be planned: The myth of the objective
Kenneth O. Stanley and Joel Lehman · 2015
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On the critical role of divergent selection in evolvability
Joel Lehman, Bryan Wilder, and Kenneth O. Stanley · 2016
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Understanding innovation engines: Automated creativity and improved stochastic optimization via deep learning
Anh Nguyen, Jason Yosinski, and Jeff Clune · 2016
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Quality diversity: A new frontier for evolutionary computation
Justin K. Pugh, Lisa B. Soros, and Kenneth O. Stanley · 2016
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Scaling up MAP-Elites using centroidal Voronoi tessellations
Vassilis Vassiliades, Konstantinos Chatzilygeroudis, and Jean-Baptiste Mouret · 2016
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Minimal criterion coevolution: A new approach to open-ended search
Jonathan C. Brant and Kenneth O. Stanley · 2017
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Data-efficient exploration, optimization, and modeling of diverse designs through surrogate-assisted illumination
Adam Gaier, Alexander Asteroth, and Jean-Baptiste Mouret · 2017
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Open-endedness: The last grand challenge you’ve never heard of
Kenneth O. Stanley, Joel Lehman, and Lisa Soros · 2017
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Hierarchical behavioral repertoires with unsupervised descriptors
Antoine Cully and Yiannis Demiris · 2018
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Jeff Clune · 2019
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Autonomous skill discovery with quality-diversity and unsupervised descriptors
Antoine Cully · 2019
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Are quality diversity algorithms better at generating stepping stones than objective-based search?
Adam Gaier, Alexander Asteroth, and Jean-Baptiste Mouret · 2019
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Parameter-efficient transfer learning for NLP
Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin De Laroussilhe, Andrea Gesmundo, Mona Attariyan, and Sylvain Gelly · 2019
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
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The surprising creativity of digital evolution: A collection of anecdotes from the evolutionary computation and artificial life research communities, 2019
Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Patryk Chrabaszcz, Nick Cheney, Antoine Cully, Stephane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Leni Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Shulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Westley Weimer, Richard Watson, and Jason Yosinski · 2019
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Adversarial NLI: A new benchmark for natural language understanding
Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston, and Douwe Kiela · 2019
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Sentence-BERT: Sentence embeddings using siamese BERT-networks
Nils Reimers and Iryna Gurevych · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D. Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Open questions in creating safe open-ended ai: tensions between control and creativity
Adrien Ecoffet, Jeff Clune, and Joel Lehman · 2020
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Fast and stable map-elites in noisy domains using deep grids
Manon Flageat and Antoine Cully · 2020
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Accelerating Evolutionary Design Exploration with Predictive and Generative Models
Adam Gaier · 2020
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Scaling laws for neural language models
Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei · 2020
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Learning to walk autonomously via reset-free quality-diversity
Bryan Lim, Alexander Reichenbach, and Antoine Cully · 2022
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SGPT: GPT sentence embeddings for semantic search
Niklas Muennighoff · 2022
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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
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Discovering language model behaviors with model-written evaluations
Ethan Perez, Sam Ringer, Kamilė Lukošiūtė, Karina Nguyen, Edwin Chen, Scott Heiner, Craig Pettit, Catherine Olsson, Sandipan Kundu, Saurav Kadavath, et al · 2022
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Model-based quality-diversity search for efficient robot learning
Leon Keller, Daniel Tanneberg, Svenja Stark, and Jan Peters · 2020
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On the opportunities and risks of foundation models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, et al · 2021
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Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Josh Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, and Wojciech Zaremba · 2021
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MAGMA - Multimodal augmentation of generative models through adapter-based finetuning
Constantin Eichenberg, Sidney Black, Samuel Weinbach, Letitia Parcalabescu, and Anette Frank · 2021
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Differentiable quality diversity
Matthew Fontaine and Stefanos Nikolaidis · 2021
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Unsupervised behaviour discovery with quality-diversity optimisation
Luca Grillotti and Antoine Cully · 2021
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Towards a unified view of parameter-efficient transfer learning
Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, and Graham Neubig · 2021
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William Saunders, Catherine Yeh, Jeff Wu, Steven Bills, Long Ouyang, Jonathan Ward, and Jan Leike · 2022
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Defining and characterizing reward gaming
Joar Skalse, Nikolaus Howe, Dmitrii Krasheninnikov, and David Krueger · 2022
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Deep surrogate assisted MAP-Elites for automated hearthstone deckbuilding
Yulun Zhang, Matthew C Fontaine, Amy K Hoover, and Stefanos Nikolaidis · 2022
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Multifusion: Fusing pre-trained models for multi-lingual, multi-modal image generation
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Surrogate assisted generation of human-robot interaction scenarios
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Evoprompting: Language models for code-level neural architecture search
Angelica Chen, David M. Dohan, and David R. So · 2023
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Augmenting autotelic agents with large language models
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Quality diversity through human feedback
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PaLM-E: An embodied multimodal language model
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Uncertain quality-diversity: Evaluation methodology and new methods for quality-diversity in uncertain domains
Manon Flageat and Antoine Cully · 2023
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Fair diffusion: Instructing text-to-image generation models on fairness
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Understanding the effects of rlhf on llm generalisation and diversity
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Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee · 2023
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Self-refine: Iterative refinement with self-feedback
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Language model crossover: Variation through few-shot prompting
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GPT-4 technical report, 2023
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Aces: generating diverse programming puzzles with autotelic language models and semantic descriptors
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Can LLMs generate random numbers? evaluating LLM sampling in controlled domains
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Reflexion: An autonomous agent with dynamic memory and self-reflection
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Mariogpt: Open-ended text2level generation through large language models, 2023
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Level generation through large language models
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OMNI: Open-endedness via models of human notions of interestingness
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