About Me

I am an undergraduate student at Indian Institute Of Technology, Bombay. My research interests revolve around Machine Learning, particularly in Natural Language Processing, Reinforcement Learning & Optimization. My work so far has mostly been at the intersection of these fields. I am being advised by Prof Mayank Baranwal and Prof Debasish Chatterjee . I like solving difficult problems!

Talks and Presentations

Automatically auditing large language models via discrete optimization

Publications, Preprints and Patents

• [1] Abhinav Raghuvanshi, Anirudh Mittal, Siddhesh Pawar (2022) "Agree To Disagree" (accepted at DMBD 2023)
• [pdf] [code]
• [2] Abhinav Raghuvanshi, Kushal Sokke Malleshappa (2023) "GGNNs : Generalizing GNNs using Residual Connections and Weighted Message Passing"
• [pdf] [code]

Projects (Incomplete List)

Agree To Disagree

Chrome Extension to analyse privacy policy of a website (NLP)

Camfort

Helping users work in right conditions and analysing their body posture

GatherF

SEC Filing analyser using Zero shot Open Information Extraction

Stable Diffusion

Implementation of stable diffusion from scratch

Social Media Recommendation

Recommender system for suggesting user accounts on Social Media

Machine Translator

Encoder - Decoder based RNN model as an English to Hindi translator