Animesh Mukherjee

Exploring the Limits of Zero Shot Vision Language Models for Hate Meme Detection: The Vulnerabilities and their Interpretations

2024 · arXiv (Cornell University)

There is a rapid increase in the use of multimedia content in current social media platforms. One of the highly popular forms of such multimedia content are memes. While memes have been primarily invented to …

Auditing Gender Analyzers on Text Data

2023

AI models have become extremely popular and accessible to the general public. However, they are continuously under the scanner due to their demonstrable biases toward various sections of the society like people of color and …

Breaking Boundaries: Investigating the Effects of Model Editing on Cross-linguistic Performance

2024 · arXiv (Cornell University)

The integration of pretrained language models (PLMs) like BERT and GPT has revolutionized NLP, particularly for English, but it has also created linguistic imbalances. This paper strategically identifies the need for linguistic equity by examining …

Text2Afford: Probing Object Affordance Prediction abilities of Language Models solely from Text

2024

We investigate the knowledge of object affordances in pre-trained language models (LMs) and pre-trained Vision-Language models (VLMs).A growing body of literature shows that PTLMs fail inconsistently and nonintuitively, demonstrating a lack of reasoning and grounding.To …

Hate Speech and Offensive Language Detection in Bengali

2022

Mithun Das, Somnath Banerjee, Punyajoy Saha, Animesh Mukherjee. Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: …