Supervisor: Dongwon Lee

Project:- A Comprehensive Taxonomy for Text watermarking (Accepted in NAACL '25)

1. We analyze research based on the specific intentions behind different watermarking techniques, evaluation datasets used, and watermarking addition and removal methods to construct a cohesive taxonomy.

2. We highlight the gaps and open challenges in text watermarking to promote research protecting text authorship. This extensive coverage and detailed analysis outline the evolving landscape of text watermarking in language models.

3. arXiv Link

Supervisor: Hanspeter Pfister

Project:- Benchmark for Misinformation Propagation and Detection by Humans and LLMs for visualizations.

1. Generating misinformative text for given Charts using LLMs.

2. Understand whether V-LLMs are susceptible to different misleading questions/ contexts for charts and systematically investigate model sensitivity to different reasoning errors in visualization contexts, such as cherry-picking, causal inference, etc. 

Supervisor: Xiang Ren

Project:- Generating free text explanations with LLMs

1. Building an attention pipeline to generate free text explanations for authorship verification.

2. Training the model to find similarities between the  two documents by classifying the documents into 5 feature vectors defining the 5 adjective styles of a document

3. Contributing towards building a training  dataset consisting of various adjective pairs for each feature vectors

Supervisor: Ali Emami

Project:- How Geographic Origin Influences LLMs Entity Deduction Capabilities

1. Awarded MITACS GRI’24 Scholarship at Brock University

2. Evaluating implicit geographical bias in LLMs through a multi-turn entity deduction game. We use notable people and culturally significant objects from diverse regions as entities and investigate the effect of the frequency of entities in pre-training datasets and their popularity on deduction capabilities.

Supervisor: Sujith Thomas 

Project:- Effect of Active Recall and Personality Traits on Learning

1. Responsible for conducting experiments to capture participants' personality traits, performance on inference, and category learning with and without active recall.

2. With R language, statistical methods like multiple linear regression and individual sample t-tests are used.

Software Engineering Summer Intern under the mentorship of Cherishma Reddy Kotha

Using Automation Techniques and frameworks like Selenium and Cucumber to test the Automator.AI tool

A core member of the development club of BITS-Goa, whose main aim is to spread knowledge and learning related to Mobile, Web, App, and Game Development to students.

The group also organises hackathons as well as tech fests frequently within the College

Also a part of Open Source projects created by the group. 

Finished 3rd in Hackathon Organised by DevSoc for all the first-year undergraduate students at BITS Goa where I and my team made an app in which a person can book a cab from wherever he/she wants

Mentored newly inducted first-year students to get accustomed to the campus environment.

Guided them with their academics in their first year 

Aims to educate the underprivileged section of the society

I taught the workers in the mess subjects such as English and Mathematics, as well as applications like Excel, PowerPoint, and email writing.

Heading and managing the overall education of all the mess workers in BITS-Goa