Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Shahriar, Sadat"'
Autor:
Shahriar, Sadat, Qi, Zheng, Pappas, Nikolaos, Doss, Srikanth, Sunkara, Monica, Halder, Kishaloy, Mager, Manuel, Benajiba, Yassine
Aligning Large Language Models (LLM) to address subjectivity and nuanced preference levels requires adequate flexibility and control, which can be a resource-intensive and time-consuming procedure. Existing training-time alignment methods require ful
Externí odkaz:
http://arxiv.org/abs/2410.19206
LLMs offer valuable capabilities, yet they can be utilized by malicious users to disseminate deceptive information and generate fake news. The growing prevalence of LLMs poses difficulties in crafting detection approaches that remain effective across
Externí odkaz:
http://arxiv.org/abs/2406.14012
Autor:
Dipta, Shubhashis Roy, Shahriar, Sadat
This paper describes our system developed for SemEval-2024 Task 8, ``Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text Detection'' Machine-generated texts have been one of the main concerns due to the use of large languag
Externí odkaz:
http://arxiv.org/abs/2402.11815
In this paper, we present a novel method for detecting fake and Large Language Model (LLM)-generated profiles in the LinkedIn Online Social Network immediately upon registration and before establishing connections. Early fake profile identification i
Externí odkaz:
http://arxiv.org/abs/2307.11864
Autor:
Shahriar, Sadat, Solorio, Thamar
Subjectivity and difference of opinion are key social phenomena, and it is crucial to take these into account in the annotation and detection process of derogatory textual content. In this paper, we use four datasets provided by SemEval-2023 Task 11
Externí odkaz:
http://arxiv.org/abs/2305.01050
In this era of information explosion, deceivers use different domains or mediums of information to exploit the users, such as News, Emails, and Tweets. Although numerous research has been done to detect deception in all these domains, information sho
Externí odkaz:
http://arxiv.org/abs/2305.01011
Phishing emails exhibit some unique psychological traits which are not present in legitimate emails. From empirical analysis and previous research, we find three psychological traits most dominant in Phishing emails - A Sense of Urgency, Inducing Fea
Externí odkaz:
http://arxiv.org/abs/2208.06792
The deception in the text can be of different forms in different domains, including fake news, rumor tweets, and spam emails. Irrespective of the domain, the main intent of the deceptive text is to deceit the reader. Although domain-specific deceptio
Externí odkaz:
http://arxiv.org/abs/2111.10711
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
CCWC
Agriculture is the mainstay for Bangladesh and the provision of water is an important factor that determines the output of the agriculture sector. Since natural water availability is prone to many aspects of nature such as rain and capacity of rain-w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a245dd8d84d7ac676bc516b9a7f2e1f
https://doi.org/10.1109/ccwc.2017.7868445
https://doi.org/10.1109/ccwc.2017.7868445
