Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Aiyappa, Rachith"'
Beliefs serve as the foundation for human cognition and decision-making. They guide individuals in deriving meaning from their lives, shaping their behaviors, and forming social connections. Therefore, a model that encapsulates beliefs and their inte
Externí odkaz:
http://arxiv.org/abs/2408.07237
Autor:
Aiyappa, Rachith, Wang, Xin, Kim, Munjung, Seckin, Ozgur Can, Yoon, Jisung, Ahn, Yong-Yeol, Kojaku, Sadamori
Link prediction -- a task of distinguishing actual hidden edges from random unconnected node pairs -- is one of the quintessential tasks in graph machine learning. Despite being widely accepted as a universal benchmark and a downstream task for repre
Externí odkaz:
http://arxiv.org/abs/2405.14985
We investigate the performance of LLM-based zero-shot stance detection on tweets. Using FlanT5-XXL, an instruction-tuned open-source LLM, with the SemEval 2016 Tasks 6A, 6B, and P-Stance datasets, we study the performance and its variations under dif
Externí odkaz:
http://arxiv.org/abs/2403.00236
Publikováno v:
Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing (TrustNLP 2023) (July 2023) 47-54
ChatGPT, the first large language model (LLM) with mass adoption, has demonstrated remarkable performance in numerous natural language tasks. Despite its evident usefulness, evaluating ChatGPT's performance in diverse problem domains remains challeng
Externí odkaz:
http://arxiv.org/abs/2303.12767
Autor:
Aiyappa, Rachith, DeVerna, Matthew R., Pote, Manita, Truong, Bao Tran, Zhao, Wanying, Axelrod, David, Pessianzadeh, Aria, Kachwala, Zoher, Kim, Munjung, Seckin, Ozgur Can, Kim, Minsuk, Gandhi, Sunny, Manikonda, Amrutha, Pierri, Francesco, Menczer, Filippo, Yang, Kai-Cheng
Social media are utilized by millions of citizens to discuss important political issues. Politicians use these platforms to connect with the public and broadcast policy positions. Therefore, data from social media has enabled many studies of politica
Externí odkaz:
http://arxiv.org/abs/2301.06287
Publikováno v:
Science Advances.10,eadh4439(2024)
Social contagion is a ubiquitous and fundamental process that drives individual and social changes. Although social contagion arises as a result of cognitive processes and biases, the integration of cognitive mechanisms with the theory of social cont
Externí odkaz:
http://arxiv.org/abs/2301.02368
The world's digital information ecosystem continues to struggle with the spread of misinformation. Prior work has suggested that users who consistently disseminate a disproportionate amount of low-credibility content -- so-called superspreaders -- ar
Externí odkaz:
http://arxiv.org/abs/2207.09524
Autor:
DeVerna, Matthew R.1 (AUTHOR) mdeverna@iu.edu, Aiyappa, Rachith1 (AUTHOR), Pacheco, Diogo1,2 (AUTHOR), Bryden, John1 (AUTHOR), Menczer, Filippo1 (AUTHOR)
Publikováno v:
PLoS ONE. 5/22/2024, Vol. 19 Issue 5, p1-17. 17p.
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