Fetching the paper…
Reading the bibliography…
Dungeons & Dragons (D&D) is a tabletop roleplaying game with complex natural language interactions between players and hidden state information.
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, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 1901
Earlier work this paper cites.
Neural generation of regular expressions from natural language with minimal domain knowledge
Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, and Regina Barzilay. 2016 · 1923
Earlier work this paper cites.
Dungeons & Dragons
Gary Gygax and Dave Arneson. 1974 · 1974
Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
GLEU: Automatic evaluation of sentence-level fluency
Andrew Mutton, Mark Dras, Stephen Wan, and Robert Dale. 2007 · 2007
Earlier work this paper cites.
Computers Play Chess, Computers Play Go…Humans Play Dungeons & Dragons
Simon Ellis and James Hendler. 2017 · 2017
Earlier work this paper cites.
NL2Bash: A corpus and semantic parser for natural language interface to the linux operating system
Xi Victoria Lin, Chenglong Wang, Luke Zettlemoyer, and Michael D. Ernst. 2018 · 2018
Earlier work this paper cites.
Deep dungeons and dragons: Learning character-action interactions from role-playing game transcripts
Annie Louis and Charles Sutton. 2018 · 2018
Earlier work this paper cites.
Dungeons and DQNs: Toward Reinforcement Learning Agents that Play Tabletop Roleplaying Games
Lara J. Martin, Srijan Sood, and Mark O. Riedl. 2018 · 2018
Cited alongside, same era.
Quality signals in generated stories
Manasvi Sagarkar, John Wieting, Lifu Tu, and Kevin Gimpel. 2018 · 2018
Cited alongside, same era.
A Reliable Information Acquisition Model for D&D Players
João Gabriel Gama Vila Nova, Marcos Vinícius Carneiro Vital, and Roberta Vilhena Vieira Lopes. 2019 · 2019
Cited alongside, same era.
Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Cited alongside, same era.
Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2019 · 2019
Cited alongside, same era.
Towards a human-like open-domain chatbot
Apoorv Kulshreshtha, Daniel De Freitas Adiwardana, David Richard So, Gaurav Nemade, Jamie Hall, Noah Fiedel, Quoc V. Le, Romal Thoppilan, Thang Luong, Yifeng Lu, and Zi Yang. 2020 · 2020
Decoding methods for neural narrative generation
Alexandra DeLucia, Aaron Mueller, Xiang Lisa Li, and João Sedoc. 2021 · 2021
Later among the works it cites.
Telling stories through multi-user dialogue by modeling character relations
Wai Man Si, Prithviraj Ammanabrolu, and Mark Riedl. 2021 · 2021
Later among the works it cites.
Human-level play in the game of diplomacy by combining language models with strategic reasoning
Anton Bakhtin, Noam Brown, Emily Dinan, Gabriele Farina, Colin Flaherty, Daniel Fried, Andrew Goff, Jonathan Gray, Hengyuan Hu, Athul Paul Jacob, Mojtaba Komeili, Karthik Konath, Minae Kwon, Adam Lerer, Mike Lewis, Alexander H. Miller, Sasha Mitts, Adithya Renduchintala, Stephen Roller, Dirk Rowe, Weiyan Shi, Joe Spisak, Alexander Wei, David Wu, Hugh Zhang, and Markus Zijlstra. 2022 · 2022
Later among the works it cites.
Dungeons and Dragons as a Dialogue Challenge for Artificial Intelligence
Chris Callison-Burch, Gaurav Singh Tomar, Lara J. Martin, Daphne Ippolito, Suma Bailis, and David Reitter. 2022 · 2022
Later among the works it cites.
Generating Descriptive and Rules-Adhering Spells for Dungeons & Dragons Fifth Edition
Pax Newman and Yudong Liu. 2022 · 2022
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Storytelling with dialogue: A Critical Role Dungeons and Dragons Dataset
Revanth Rameshkumar and Peter Bailey. 2020 · 2020
Cited alongside, same era.
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 · 2021
Cited alongside, same era.
Later among the works it cites.
Using language models to convert between natural language and game commands
Stefan Papazov, Wesley Gill, Marta Garcia Ferreiro, Andrew Zhu, Lara J. Martin, and Chris Callison-Burch. 2022 · 2022
Later among the works it cites.
An ai dungeon master’s guide: Learning to converse and guide with intents and theory-of-mind in dungeons and dragons
Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, and Prithviraj Ammanabrolu. 2022 · 2022
Later among the works it cites.