Hi, I am Anubha Kabra

Artificial Intelligence | Natural Language Processing | Generative AI

I am a Senior Machine Learning Reserach Engineer at Bloomberg. I am currently exploring how to develop and use LLMs for industry and customer facing use cases.

I was a Master's Student in School of Computer Science at Carnegie Mellon University. My Advisor was Dr. Graham Neubig

I was in Language Technological Institute (LTI), studying and implementing very interesting concepts in Natural Language Processing and Artificial Intelligence.

Earlier, I worked as a software development engineer at Adobe. I aspire to contribute to community by developing cutting edge deployable products.

Organizations I have worked with :

SPUD Lab, Carnegie Mellon University

Media and Data Science Research Lab Adobe

MIDAS Lab

Conversational AI

Apple

R&D

NUS

Machine Learning Lab

Exciting News

[May 2024] My work done for protecting the user-side privacy associated with online self-disclosure through identification and abstraction using Language Models - Reducing Privacy Risks in Online Self-Disclosures with Language Models is accepted in ACL 2024, Thailand!
[March 2024] My work on exploring calibration in different prompting styles have been accepted in NAACL, Mexico City! - Program-Aided Reasoners (better) Know What They Know.
[Jan 2024] I have joined Bloomberg as a Senior ML Research Engineer!
[Nov 2023] My work on exploring calibration in different prompting styles is now on Arxiv! - Program-Aided Reasoners (better) Know What They Know. In this paper, we compare the calibration of Program Aided Language Models (PAL) and text-based Chain-of-thought (COT) prompting techniques over 5 datasets and 2 model types: LLaMA models and OpenAI models. Our results indicate that PAL leads to improved calibration in 75% of the instances.
[Nov 2023] My work at CMU in collaboration with Georgia Tech is now on Arxiv! - Reducing Privacy Risks in Online Self-Disclosures with Language Models. In this paper, we take the initiative to protect the user-side privacy associated with online self-disclosure through identification and abstraction using Language Models
[Oct 2023] My work done in Carnegie Mellon University : "Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model" got accepted in EMNLP 2023, Singapore!
[May 2023] My work done in Carnegie Mellon University : "Multi-lingual and Multi-cultural Figurative Language Understanding" got accepted in ACL 2023, Toronto, CA!
[May 2023] I have started working in Apple Research as an AI - ML intern for this summer at New York City!
[Feb 2023] My research at Delhi Technological University was awarded "Premier" and "Commendable" Research Awards. (Click to see the paper!)
[Aug 2022] Joined School of Computer Science, Carnegie Mellon University for pursuing a Master's Degree!
[Feb 2022] Awarded the prestigious Vector AI scholarship, by Vector Institute of AI, Canada!