Publications (8)
Evaluating Gender Bias in Hindi-English Machine Translation
Gauri Gupta, Krithika Ramesh, Sanjay Singh
With language models being deployed increasingly in the real world, it is essential to address the issue of the fairness of their outputs. The word embedding representations of the…
CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models
Abhishek Singh, Gauri Gupta, Ritvik Kapila +5
Federated Learning (FL) enables collaborative optimization of machine learning models across decentralized data by aggregating model parameters. Our approach extends this concept b…
Conformal Prediction with Large Language Models for Multi-Choice Question Answering
Bhawesh Kumar, Charlie Lu, Gauri Gupta +4
As large language models continue to be widely developed, robust uncertainty quantification techniques will become crucial for their safe deployment in high-stakes scenarios. In th…
Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic
Ramesh Raskar, Isabel Schunemann, Rachel Barbar +29
Containment, the key strategy in quickly halting an epidemic, requires rapid identification and quarantine of the infected individuals, determination of whom they have had close co…
First 100 days of pandemic; an interplay of pharmaceutical, behavioral and digital interventions -- A study using agent based modeling
Gauri Gupta, Ritvik Kapila, Ayush Chopra +1
Pandemics, notably the recent COVID-19 outbreak, have impacted both public health and the global economy. A profound understanding of disease progression and efficient response str…
GupShup: An Annotated Corpus for Abstractive Summarization of Open-Domain Code-Switched Conversations
Laiba Mehnaz, Debanjan Mahata, Rakesh Gosangi +7
Code-switching is the communication phenomenon where speakers switch between different languages during a conversation. With the widespread adoption of conversational agents and ch…
Curb Your Carbon Emissions: Benchmarking Carbon Emissions in Machine Translation
Mirza Yusuf, Praatibh Surana, Gauri Gupta +1
In recent times, there has been definitive progress in the field of NLP, with its applications growing as the utility of our language models increases with advances in their perfor…
Domain Generalization In Robust Invariant Representation
Gauri Gupta, Ritvik Kapila, Keshav Gupta +1
Unsupervised approaches for learning representations invariant to common transformations are used quite often for object recognition. Learning invariances makes models more robust…