Vishal Vaddina

According to our database, Vishal Vaddina authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Leveraging Latent Evolutionary Optimization for Targeted Molecule Generation.

Siddartha Reddy, Sai Prakash MV, Varun V, Vishal Vaddina, Saisubramaniam Gopalakrishnan

CoRR, 2024

Automated Tailoring of Large Language Models for Industry-Specific Downstream Tasks.

Shreya Saxena, Siva Prasad, Muneeswaran I, Advaith Shankar, Varun V, Saisubramaniam Gopalakrishnan, Vishal Vaddina

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Accelerating Pharmacovigilance using Large Language Models.

Mukkamala Venkata Sai Prakash, Ganesh Parab, Meghana Veeramalla, Siddartha Reddy, Varun V, Saisubramaniam Gopalakrishnan, Vishal Pagidipally, Vishal Vaddina

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Mitigating Factual Inconsistency and Hallucination in Large Language Models.

Muneeswaran I, Advaith Shankar, Varun V, Saisubramaniam Gopalakrishnan, Vishal Vaddina

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Leveraging Latent Evolutionary Optimization for Targeted Molecule Generation.

Siddartha Reddy, Sai Prakash MV, V. Varun, Saisubramaniam Gopalakrishnan, Vishal Vaddina

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Minimizing Factual Inconsistency and Hallucination in Large Language Models.

Muneeswaran I, Shreya Saxena, Siva Prasad, Mukkamala Venkata Sai Prakash, Advaith Shankar, Varun V, Vishal Vaddina, Saisubramaniam Gopalakrishnan

CoRR, 2023

Synergistic Fusion of Graph and Transformer Features for Enhanced Molecular Property Prediction.

Mukkamala Venkata Sai Prakash, Siddartha Reddy, Ganesh Parab, Varun V, Vishal Vaddina, Saisubramaniam Gopalakrishnan

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022

Large-Scale Knowledge Synthesis and Complex Information Retrieval from Biomedical Documents.

Shreya Saxena, Raj Sangani, Siva Prasad, Shubham Kumar, Mihir Athale, Rohan Awhad, Vishal Vaddina

Proceedings of the IEEE International Conference on Big Data, 2022

2019

3D Conditional Generative Adversarial Networks to enable large-scale seismic image enhancement.

Praneet Dutta, Bruce Power, Adam Halpert, Carlos Ezequiel, Aravind Subramanian, Chanchal Chatterjee, Sindhu Hari, Kenton Prindle, Vishal Vaddina, Andrew Leach, Raj Domala, Laura Bandura, Massimo Mascaro

CoRR, 2019