Devansh Jain

About Me

Hey! I am Devansh, a first-year MIIS student at the Language Technologies Institute at Carnegie Mellon University. My research interests broadly lie in Natural Language Processing.

Previously, I was a Visiting Associate at the World Well-Being Project, University of Pennsylvania. I worked with Prof. Sharath Guntuku on developing computational methods for precision public health communication in the context of vaccine acceptance in India and Sub-saharan Africa, and with Prof. Lyle Ungar on multilingual topic modeling.

I have also been fortunate enough to intern with Prof. Chris Biemann and Dr. Meriem Beloucif on investigating the semantic capabilities of pretrained language models, and Prof. Luis Espinosa-Anke on zero-shot taxonomy learning using pretrained language models.

I graduated with a MSc. in Economics and a B.E. in Computer Science from BITS Pilani, Pilani, India in 2023. During my time there, I worked on mutlimodal knowledge graph construction with Prof. Poonam Goyal. I was also a core member of the Computer Vision Research Society, where I worked on medical report generation.

Publications

Detecting Symptoms of Depression on Reddit
Tingting Liu, Devansh Jain, Shivani R Rapole, Brenda Curtis, Johannes C. Eichstaedt, Lyle H. Ungar, and Sharath Chandra Guntuku
ACM Web Science Conference, 2023

Distilling Hypernymy Relations from Language Models: On the Effectiveness of Zero-Shot Taxonomy Induction
Devansh Jain and Luis Espinosa-Anke
*SEM 2022

MedSkip: Medical Report Generation Using Skip Connections and Integrated Attention
Esha Pahwa*, Dwij Mehta*, Sanjeet Kapadia*, Devansh Jain* and Achleshwar Luthra
Computer Vision for Automated Medical Diagnosis, ICCV’21 Workshop

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