42 citations · 93 across the 31 of their papers we have counts for
6 papers · 1 filter
Probing LLMs for hate speech detection: strengths and vulnerabilities
Sarthak Roy, Ashish Harshavardhan, Animesh Mukherjee +1
Recently efforts have been made by social media platforms as well as researchers to detect hateful or toxic language using large language models. However, none of these works aim t…
BanglaAbuseMeme: A Dataset for Bengali Abusive Meme Classification
Mithun Das, Animesh Mukherjee
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…
A Deep Dive into the Disparity of Word Error Rates Across Thousands of NPTEL MOOC Videos
Anand Kumar Rai, Siddharth D Jaiswal, Animesh Mukherjee
Automatic speech recognition (ASR) systems are designed to transcribe spoken language into written text and find utility in a variety of applications including voice assistants and…
Evaluating ChatGPT's Performance for Multilingual and Emoji-based Hate Speech Detection
Mithun Das, Saurabh Kumar Pandey, Animesh Mukherjee
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…
HateMM: A Multi-Modal Dataset for Hate Video Classification
Mithun Das, Rohit Raj, Punyajoy Saha +3
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 rec…
HateProof: Are Hateful Meme Detection Systems really Robust?
Piush Aggarwal, Pranit Chawla, Mithun Das +4
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-moda…