Behind every seamless customer experience is a complex, ever-changing codebase. When issues arise in that codebase, developers face a deceptively hard task: locating the exact part of the code that needs fixing. This…
author name
Revanth Gangi Reddy
author title Salesforce AI Research Intern
My Background
Revanth Gangi Reddy is a final-year Ph.D. student in Computer Science at the University of Illinois Urbana-Champaign, where he is advised by Prof. Heng Ji. His research interests lie in knowledge-driven natural language processing, focusing on agentic search, embedding and reranking models, and retrieval-augmented generation. Revanth’s work has been published in leading conferences such as ICLR, ACL, AAAI, EMNLP, NAACL, and SIGIR, and he also presented a tutorial on Open-Retrieval Question Answering at IJCAI 2023
My Expertise
Agentic Search, Reasoning
When I'm Not Writing ...
I enjoy outdoor activities liking hiking and skiing, and hit the gym regularly
