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The rise of unifying frameworks that enable seamless interoperability of Large Language Models (LLMs) has made LLM-LLM collaboration for open-ended tasks a possibility.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Statistical learning theory
VN Vapnik. 1998 · 1998
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Chapter 3. the narrative construction of reality
Jerome S Bruner. 2003 · 2003
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Assessing multivariate bernoulli models for information retrieval
David E Losada and Leif Azzopardi. 2008 · 2008
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Creative writing with a machine in the loop: Case studies on slogans and stories
Elizabeth Clark, Anne Spencer Ross, Chenhao Tan, Yangfeng Ji, and Noah A Smith. 2018 · 2018
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Hierarchical neural story generation
Angela Fan, Mike Lewis, and Yann Dauphin. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin Ming-Wei Chang Kenton and Lee Kristina Toutanova. 2019 · 2019
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Albert: A lite bert for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2019 · 2019
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STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation
Nader Akoury, Shufan Wang, Josh Whiting, Stephen Hood, Nanyun Peng, and Mohit Iyyer. 2020 · 2020
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Help me write a poem - instruction tuning as a vehicle for collaborative poetry writing
Tuhin Chakrabarty, Vishakh Padmakumar, and He He. 2022 · 2022
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Coauthor: Designing a human-ai collaborative writing dataset for exploring language model capabilities
Mina Lee, Percy Liang, and Qian Yang. 2022 · 2022
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Ai as an active writer: Interaction strategies with generated text in human-ai collaborative fiction writing
Daijin Yang, Yanpeng Zhou, Zhiyuan Zhang, Toby Jia-Jun Li, and LC Ray. 2022 · 2022
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Wordcraft: story writing with large language models
Ann Yuan, Andy Coenen, Emily Reif, and Daphne Ippolito. 2022 · 2022
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Overview of pan 2023: Authorship verification, multi-author writing style analysis, profiling cryptocurrency influencers, and trigger detection: Condensed lab overview
Janek Bevendorff, Ian Borrego-Obrador, Mara Chinea-Ríos, Marc Franco-Salvador, Maik Fröbe, Annina Heini, Krzysztof Kredens, Maximilian Mayerl, Piotr Pęzik, Martin Potthast, et al. 2023 · 2023
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Storywars: A dataset and instruction tuning baselines for collaborative story understanding and generation
Yulun Du and Lydia Chilton. 2023 · 2023
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Albert Q Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, et al. 2023 · 2023
Cited alongside, same era.
Metaphorian: Leveraging large language models to support extended metaphor creation for science writing
Jeongyeon Kim, Sangho Suh, Lydia B Chilton, and Haijun Xia. 2023 · 2023
Cited alongside, same era.
Neural authorship attribution: Stylometric analysis on large language models
Tharindu Kumarage and Huan Liu. 2023 · 2023
Cited alongside, same era.
Theory of mind for multi-agent collaboration via large language models
Huao Li, Yu Chong, Simon Stepputtis, Joseph Campbell, Dana Hughes, Charles Lewis, and Katia Sycara. 2023a · 2023
Cited alongside, same era.
Dynamic llm-agent network: An llm-agent collaboration framework with agent team optimization
Zijun Liu, Yanzhe Zhang, Peng Li, Yang Liu, and Diyi Yang. 2023 · 2023
Detective: Detecting ai-generated text via multi-level contrastive learning
Xun Guo, Yongxin He, Shan Zhang, Ting Zhang, Wanquan Feng, Haibin Huang, and Chongyang Ma. 2024 · 2024
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Outfox: Llm-generated essay detection through in-context learning with adversarially generated examples
Ryuto Koike, Masahiro Kaneko, and Naoaki Okazaki. 2024 · 2024
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Protecting text ip in the era of llms with robust and scalable watermarking
Gregory Kang Ruey Lau, Xinyuan Niu, Hieu Dao, Jiangwei Chen, Chuan-Sheng Foo, and Bryan Kian Hsiang Low. 2024 · 2024
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The longtail impact of generative ai on disinformation: Harmonizing dichotomous perspectives
Jason S. Lucas, Barani Maung Maung, Maryam Tabar, Keegan McBride, and Dongwon Lee. 2024 · 2024
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Hello gpt-4o
OpenAI. 2024 · 2024
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Agentcoord: Visually exploring coordination strategy for llm-based multi-agent collaboration
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Cited alongside, same era.
Orca: Progressive learning from complex explanation traces of gpt-4
Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar, Sahaj Agarwal, Hamid Palangi, and Ahmed Awadallah. 2023 · 2023
Cited alongside, same era.
A theory of linguistic individuality for authorship analysis
Andrea Nini. 2023 · 2023
Cited alongside, same era.
Beyond semantic distance: Automated scoring of divergent thinking greatly improves with large language models
Peter Organisciak, Selcuk Acar, Denis Dumas, and Kelly Berthiaume. 2023 · 2023
Cited alongside, same era.
What if chatgpt wrote the abstract?-explainable multi-authorship attribution with a data augmentation strategy
Kanishka Silva and Ingo Frommholz. 2023 · 2023
Cited alongside, same era.
Where to hide a stolen elephant: Leaps in creative writing with multimodal machine intelligence
Nikhil Singh, Guillermo Bernal, Daria Savchenko, and Elena L Glassman. 2023 · 2023
Cited alongside, same era.
Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al. 2023 · 2023
Cited alongside, same era.
Fiction-writing mode: An effective control for human-machine collaborative writing
Wenjie Zhong, Jason Naradowsky, Hiroya Takamura, Ichiro Kobayashi, and Yusuke Miyao. 2023 · 2023
Cited alongside, same era.
Bo Pan, Jiaying Lu, Ke Wang, Li Zheng, Zhen Wen, Yingchaojie Feng, Minfeng Zhu, and Wei Chen. 2024 · 2024
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Automatic authorship analysis in human-ai collaborative writing
Aquia Richburg, Calvin Bao, and Marine Carpuat. 2024 · 2024
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Few-shot detection of machine-generated text using style representations
Rafael Alberto Rivera Soto, Kailin Koch, Aleem Khan, Barry Y Chen, Marcus Bishop, and Nicholas Andrews. 2024 · 2024
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Gemma: Open models based on gemini research and technology
Gemma Team, Thomas Mesnard, Cassidy Hardin, Robert Dadashi, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, et al. 2024 · 2024
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A ship of theseus: Curious cases of paraphrasing in llm-generated texts
Nafis Irtiza Tripto, Saranya Venkatraman, Dominik Macko, Robert Moro, Ivan Srba, Adaku Uchendu, Thai Le, and Dongwon Lee. 2024 · 2024
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Regulating the Synthetic Society: Generative AI, Legal Questions, and Societal Challenges
Bart van der Sloot. 2024 · 2024
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Catherine Yeh, Gonzalo Ramos, Rachel Ng, Andy Huntington, and Richard Banks. 2024 · 2024
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Towards automatic boundary detection for human-ai collaborative hybrid essay in education
Zijie Zeng, Lele Sha, Yuheng Li, Kaixun Yang, Dragan Gašević, and Guangliang Chen. 2024 · 2024
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Llm-as-a-coauthor: Can mixed human-written and machine-generated text be detected?
Qihui Zhang, Chujie Gao, Dongping Chen, Yue Huang, Yixin Huang, Zhenyang Sun, Shilin Zhang, Weiye Li, Zhengyan Fu, Yao Wan, et al. 2024a · 2024
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