Abhinav Shankaranarayanan Venkataraman, Athanasios Nikolakopoulos, Vishwanath Kumaraswamy, Tao Zhang, Sarath Chander, Rohit Saboo, Suleiman A. Khan
International Conference on Learning Representations (ICLR) 2026 Workshop · 2026 Peer-reviewed
A methodology to automatically translate prompts across foundation models by preserving task semantics and re-optimizing only model-specific interfaces, matching expert performance while cutting manual effort by ~97%.
Prompt Translation Across Foundation Models: A Structured Optimization Framework
Abhinav Shankaranarayanan Venkataraman, et al.
Amazon Machine Learning Conference (AMLC) · 2025 Peer-reviewed (Internal)
Presents a novel framework for optimizing and translating prompts across different foundation models, enabling efficient cross-model adaptation.
Abhinav Shankaranarayanan Venkataraman
Bachelor's Thesis, Universitat Politècnica de Catalunya (UPC Barcelona) · 2016
Studies, implements, and compares several algorithms for visually representing highly dimensional data so that similar entities appear close together based on graph and matrix representation.
Abhinav Shankaranarayanan Venkataraman, S. Anand
ARPN Journal of Engineering and Applied Sciences · 2015 2 citations
A fuzzy expert system designed for bus management to provide threshold limits for accident prevention and expenditure optimization.