Noida, India

Lovkesh Vig


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Lovkesh Vig: Innovator in Program Synthesis for Multimodal Question Answering

Introduction

Lovkesh Vig is a notable inventor based in Noida, India. He has made significant contributions to the field of program synthesis, particularly in the area of multimodal question answering. His innovative approach addresses the challenges faced in existing methodologies, paving the way for advancements in artificial intelligence.

Latest Patents

Lovkesh Vig holds a patent for a system and method for program synthesis for weakly-supervised multimodal question answering using filtered iterative back-translation. This patent focuses on a two-stage approach to enhance the efficiency of question answering systems. In the first stage, a computer vision pipeline extracts data from chart images and organizes it into a generic schema. The second stage involves generating SQL programs for natural language queries using filtered iterative back-translation. This innovative method adapts models to required natural language queries, significantly improving the accuracy and relevance of responses.

Career Highlights

Lovkesh Vig is currently employed at Tata Consultancy Services Limited, where he continues to develop and refine his innovative ideas. His work has garnered attention for its practical applications in enhancing question answering systems, making him a valuable asset in the tech industry.

Collaborations

Lovkesh has collaborated with Shabbirhussain Hamid Bhaisaheb, contributing to the development of advanced methodologies in program synthesis. Their partnership has led to significant advancements in the field, showcasing the importance of teamwork in innovation.

Conclusion

Lovkesh Vig's contributions to program synthesis and multimodal question answering highlight his role as a leading inventor in the technology sector. His innovative approaches and collaborations continue to shape the future of artificial intelligence and question answering systems.

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