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pro vyhledávání: '"Das, Mithun"'
Autor:
Das, Mithun Kumar
We estimate the number of zeros of a polynomial in $\mathbb{C}[z]$ within any small circular disc centered on the unit circle, which improves and comprehensively extends a result established by Borwein, Erd{\'e}lyi, and Littmann~\cite{BE1} in 2008. F
Externí odkaz:
http://arxiv.org/abs/2407.15306
Autor:
Rizwan, Naquee, Bhaskar, Paramananda, Das, Mithun, Majhi, Swadhin Satyaprakash, Saha, Punyajoy, Mukherjee, Animesh
Multimedia content on social media is rapidly evolving, with memes gaining prominence as a distinctive form. Unfortunately, some malicious users exploit memes to target individuals or vulnerable communities, making it imperative to identify and addre
Externí odkaz:
http://arxiv.org/abs/2402.12198
With the rise of online abuse, the NLP community has begun investigating the use of neural architectures to generate counterspeech that can "counter" the vicious tone of such abusive speech and dilute/ameliorate their rippling effect over the social
Externí odkaz:
http://arxiv.org/abs/2402.07262
Autor:
Das, Mithun, Mukherjee, Animesh
The dramatic increase in the use of social media platforms for information sharing has also fueled a steep growth in online abuse. A simple yet effective way of abusing individuals or communities is by creating memes, which often integrate an image w
Externí odkaz:
http://arxiv.org/abs/2310.11748
In this article, we examine the Poissonian pair correlation (PPC) statistic for higher-dimensional real sequences. Specifically, we demonstrate that for $d\geq 3$, almost all $(\alpha_1,\ldots,\alpha_d) \in \mathbb{R}^d$, the sequence $\big(\{x_n\alp
Externí odkaz:
http://arxiv.org/abs/2310.09541
Hate speech is a severe issue that affects many online platforms. So far, several studies have been performed to develop robust hate speech detection systems. Large language models like ChatGPT have recently shown a great promise in performing severa
Externí odkaz:
http://arxiv.org/abs/2305.13276
Hate speech has become one of the most significant issues in modern society, having implications in both the online and the offline world. Due to this, hate speech research has recently gained a lot of traction. However, most of the work has primaril
Externí odkaz:
http://arxiv.org/abs/2305.03915
Autor:
Aggarwal, Piush, Chawla, Pranit, Das, Mithun, Saha, Punyajoy, Mathew, Binny, Zesch, Torsten, Mukherjee, Animesh
Exploiting social media to spread hate has tremendously increased over the years. Lately, multi-modal hateful content such as memes has drawn relatively more traction than uni-modal content. Moreover, the availability of implicit content payloads mak
Externí odkaz:
http://arxiv.org/abs/2302.05703
Social media often serves as a breeding ground for various hateful and offensive content. Identifying such content on social media is crucial due to its impact on the race, gender, or religion in an unprejudiced society. However, while there is exten
Externí odkaz:
http://arxiv.org/abs/2210.03479
Autor:
Darbar, Pranendu, Das, Mithun Kumar
We study a general class of multiplicative functions by relating "short averages" to its "long average". More precisely, we estimate asymptotically the variance of such a class of functions in short intervals using Fourier analysis and counting ratio
Externí odkaz:
http://arxiv.org/abs/2208.13238