From Chat to Publication Management: Organizing your related work using BibSonomy & LLMs

Author:

Völker Tom1ORCID,Pfister Jan1ORCID,Koopmann Tobias1ORCID,Hotho Andreas1ORCID

Affiliation:

1. Center for Artificial Intelligence and Data Science (CAIDAS), Institute for Computer Science, University of Würzburg, Germany

Publisher

ACM

Reference21 articles.

1. Rohan Anil Andrew M. Dai Orhan Firat Melvin Johnson Dmitry Lepikhin Alexandre Passos Siamak Shakeri Emanuel Taropa Paige Bailey Zhifeng Chen Eric Chu Jonathan H. Clark Laurent El Shafey Yanping Huang Kathy Meier-Hellstern Gaurav Mishra Erica Moreira Mark Omernick Kevin Robinson Sebastian Ruder Yi Tay Kefan Xiao Yuanzhong Xu Yujing Zhang Gustavo Hernández Ábrego Junwhan Ahn Jacob Austin Paul Barham Jan A. Botha James Bradbury Siddhartha Brahma Kevin Brooks Michele Catasta Yong Cheng Colin Cherry Christopher A. Choquette-Choo Aakanksha Chowdhery Clément Crepy Shachi Dave Mostafa Dehghani Sunipa Dev Jacob Devlin Mark Díaz Nan Du Ethan Dyer Vladimir Feinberg Fangxiaoyu Feng Vlad Fienber Markus Freitag Xavier Garcia Sebastian Gehrmann Lucas Gonzalez and et al.2023. PaLM 2 Technical Report. CoRR abs/2305.10403 (2023). https://doi.org/10.48550/ARXIV.2305.10403 arXiv:2305.10403

2. On the Dangers of Stochastic Parrots

3. The social bookmark and publication management system bibsonomy

4. Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared 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 M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher 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. Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, Hugo Larochelle, Marc’Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, and Hsuan-Tien Lin (Eds.). https://proceedings.neurips.cc/paper/2020/hash/1457c0d6bfcb4967418bfb8ac142f64a-Abstract.html

5. Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé de Oliveira Pinto Jared Kaplan Harrison 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 Joshua 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. Evaluating Large Language Models Trained on Code. CoRR abs/2107.03374 (2021). arXiv:2107.03374https://arxiv.org/abs/2107.03374

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