Revanth Gangi Reddy
Scholar

Revanth Gangi Reddy

Google Scholar ID: SXP5Ej0AAAAJ
Google DeepMind
Natural Language ProcessingDeep Learning
Citations & Impact
All-time
Citations
889
 
H-index
15
 
i10-index
19
 
Publications
20
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • WiNELL: Wikipedia Never-Ending Updating with LLM Agents (Under Review)
  • SWERank: Software Issue Localization with Code Ranking (Under Review)
  • CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking (ICLR 2025)
  • INFOGENT: An Agent-Based Framework for Web Information Aggregation (NAACL Findings, 2025)
  • Inference-time Reranker Relevance Feedback for Neural Information Retrieval (SIGIR 2025)
  • SmartBook: AI-Assisted Situation Report Generation (Knowledge Graphs Journal, 2024)
  • FIRST: Faster Improved Listwise Reranking with Single Token Decoding (EMNLP 2024)
Research Experience
  • AI Resident at IBM Research, New York, worked with Vittorio Castelli, Avirup Sil, and Salim Roukos.
Education
  • PhD student at the University of Illinois, Urbana Champaign, advised by Prof. Heng Ji; Bachelor's degree from Indian Institute of Technology Madras in 2018, majoring in computer science, worked with Prof. Mitesh Khapra and Prof. Balaraman Ravindran.
Background
  • Interested in natural language processing and large language models, particularly in the fields of agentic search, embedding models and reranking, and information-seeking for retrieval-augmented generation.