8 citations · 15 across the 11 of their papers we have counts for
11 papers
SenTest: Evaluating Robustness of Sentence Encoders
Tanmay Chavan, Shantanu Patankar, Aditya Kane +3
Contrastive learning has proven to be an effective method for pre-training models using weakly labeled data in the vision domain. Sentence transformers are the NLP counterparts to…
My Boli: Code-mixed Marathi-English Corpora, Pretrained Language Models and Evaluation Benchmarks
Tanmay Chavan, Omkar Gokhale, Aditya Kane +2
The research on code-mixed data is limited due to the unavailability of dedicated code-mixed datasets and pre-trained language models. In this work, we focus on the low-resource In…
Two-stage Pipeline for Multilingual Dialect Detection
Ankit Vaidya, Aditya Kane
Dialect Identification is a crucial task for localizing various Large Language Models. This paper outlines our approach to the VarDial 2023 shared task. Here we have to identify th…
A Twitter BERT Approach for Offensive Language Detection in Marathi
Tanmay Chavan, Shantanu Patankar, Aditya Kane +2
Automated offensive language detection is essential in combating the spread of hate speech, particularly in social media. This paper describes our work on Offensive Language Identi…
Temporal Word Meaning Disambiguation using TimeLMs
Mihir Godbole, Parth Dandavate, Aditya Kane
Meaning of words constantly changes given the events in modern civilization. Large Language Models use word embeddings, which are often static and thus cannot cope with this semant…
Large Language Models for Multi-label Propaganda Detection
Tanmay Chavan, Aditya Kane
The spread of propaganda through the internet has increased drastically over the past years. Lately, propaganda detection has started gaining importance because of the negative imp…
Spread Love Not Hate: Undermining the Importance of Hateful Pre-training for Hate Speech Detection
Omkar Gokhale, Aditya Kane, Shantanu Patankar +2
Pre-training large neural language models, such as BERT, has led to impressive gains on many natural language processing (NLP) tasks. Although this method has proven to be effectiv…
Efficient Gender Debiasing of Pre-trained Indic Language Models
Neeraja Kirtane, V Manushree, Aditya Kane
The gender bias present in the data on which language models are pre-trained gets reflected in the systems that use these models. The model's intrinsic gender bias shows an outdate…
Continual VQA for Disaster Response Systems
Aditya Kane, V Manushree, Sahil Khose
Visual Question Answering (VQA) is a multi-modal task that involves answering questions from an input image, semantically understanding the contents of the image and answering it i…
An Efficient Modern Baseline for FloodNet VQA
Aditya Kane, Sahil Khose
Designing efficient and reliable VQA systems remains a challenging problem, more so in the case of disaster management and response systems. In this work, we revisit fundamental co…
Transformer based ensemble for emotion detection
Aditya Kane, Shantanu Patankar, Sahil Khose +1
Detecting emotions in languages is important to accomplish a complete interaction between humans and machines. This paper describes our contribution to the WASSA 2022 shared task w…