3 citations · 4 across the 4 of their papers we have counts for
4 papers
PEFTDebias : Capturing debiasing information using PEFTs
Sumit Agarwal, Aditya Srikanth Veerubhotla, Srijan Bansal
The increasing use of foundation models highlights the urgent need to address and eliminate implicit biases present in them that arise during pretraining. In this paper, we introdu…
Few-shot Unified Question Answering: Tuning Models or Prompts?
Srijan Bansal, Semih Yavuz, Bo Pang +2
Question-answering (QA) tasks often investigate specific question types, knowledge domains, or reasoning skills, leading to specialized models catering to specific categories of QA…
Debiasing Multilingual Word Embeddings: A Case Study of Three Indian Languages
Srijan Bansal, Vishal Garimella, Ayush Suhane +1
In this paper, we advance the current state-of-the-art method for debiasing monolingual word embeddings so as to generalize well in a multilingual setting. We consider different me…
Code-switching patterns can be an effective route to improve performance of downstream NLP applications: A case study of humour, sarcasm and hate speech detection
Srijan Bansal, Vishal Garimella, Ayush Suhane +2
In this paper we demonstrate how code-switching patterns can be utilised to improve various downstream NLP applications. In particular, we encode different switching features to im…