How does Griffin’s local attention window defeat global transformers in their own games?
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Authors:
(1) Yi-Ling Chung, Alan Turing Institute (ychung@ting.ac.uk);
(2) Gavin AberCrombie, Interaction Laboratory, Heriot-Watt University (G.bercrombie@hw.ac.uk);
(3) Florence Enock, Alan Turing Institute (fenock@arting.ac.uk);
(4) Jonathan Bright, Alan Turing Institute (jbright@ting.ac.uk);
(5) Grana Rieser, Interaction Laboratory, Heriot-Watt University and now Google Deepmind (vtrieser@hw.ac.uk).
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Connection table
Summary and 1 Introduction
2 Background
Review 3 Methodology
4 Speaking Speech
4.1 Classification of Counterpeech
5 Counterpeech’s Effect
6 Speaking Calculator Approaches and 6.1 Counterpeech Data Clusters
6.2 Counterpeech detection and approaches to conversation against 6.3
7 Future Perspectives
8 Results, Thanks and References
Review 3 Methodology
By taking a multi -disciplined perspective, we systematically review the work on computer science and the social sciences published in the last decade. Moher et al. (2009). The search and involvement process is shown in Figure 2.
Together we used keyword terms about Counterspeech to search for three basic databases (ACL anthology, Arxiv and scopus), which offers a wide scope of our target literature. We included the search
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\ ‘Counter-speech’, ‘counter-narratives’, ‘anti-terrorist’, ‘counter-aggression’, ‘counter-nefret’, ‘against speech’, ‘against narrative’, ‘against online hate speech’, ‘against hate speech’ and ‘against-nefret’. In addition, we have added 34 publications from other sources before, but it was not returned by the keyword search because it did not include the relevant keywords or added to the knee in target search warehouses. It was held in December 2022. (1) The analysis and effectiveness of the use and effectiveness of the use and effectiveness of the online hateful or abusive language, (for example, (eg meter classification or production) of meter users or receivers (for example, (meter classification or production). It was read by at least one of the joint writers.
\ Our examination is divided into several sections (the results are presented below). First, we examine the descriptive properties of the plycakes, how the term itself is defined, how different taxonomies are created to classify different types of counter types, and we examine the different potential purposes attributed to it. Then, we examine the studies that look at the impact of the counter -contract, discuss different analytical designs and analyze the evidence of the results. Following this, we discuss the calculation approaches for counter -contracts, especially by focusing on both detection and production. Finally, we examine the ethical problems in the Counterpeech field and also speculate about future perspectives and directions in the field.
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::: Information This article Available in Arxiv CC BY-SA 4.0 under the title deed license.
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