HyperCausal: Visualizing Causal Inference in 3D Hypertext

Author:

Bönisch Kevin1ORCID,Stoeckel Manuel1ORCID,Mehler Alexander1ORCID

Affiliation:

1. Goethe-University, Germany

Publisher

ACM

Reference37 articles.

1. A systematic review of Explainable Artificial Intelligence models and applications: Recent developments and future trends

2. Espen Aarseth. 1995. Cybertext: perspectives on ergodic literature. University of Bergen.

3. Storyspace 1

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. arxiv:2005.14165 [cs.CL]

5. Brendan Bycroft. 2023. LLM Visualization. https://github.com/bbycroft/llm-viz. 3D Visualization of a GPT-style LLM.

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