Vishal Vaddina

According to our database, Vishal Vaddina authored at least 16 papers between 2019 and 2026.

Collaborative distances:

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

2026

Responsible AI for General-Purpose Systems: Overview, Challenges, and A Path Forward.

Gourab K. Patro, Himanshi Agrawal, Himanshu Gharat, Supriya Panigrahi, Nim Sherpa, Vishal Vaddina, Dagnachew Birru

CoRR, January, 2026

PROTEUS: SLA-Aware Routing via Lagrangian RL for Multi-LLM Serving Systems.

Amit Singh Bhatti, Vishal Vaddina, Dagnachew Birru

Proceedings of the Sixth European Workshop on Machine Learning and Systems, EuroMLSys 2026, 2026

2025

ORPO-Distill: Mixed-Policy Preference Optimization for Cross-Architecture LLM Distillation.

Aasheesh Singh, Vishal Vaddina, Dagnachew Birru

CoRR, September, 2025

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training.

Shreya Saxena, Siva Prasad, Zishan Ahmad, Vishal Vaddina

CoRR, July, 2025

AMR-CSI: Adaptive Multimodal RAG for Cold Start Indexing.

Siva Prasad, Shreya Saxena, Mukkamala Venkata Sai Prakash, Zishan Ahmad, Vishal Vaddina

Proceedings of the 3rd International Workshop on Deep Multimodal Generation and Retrieval, 2025

IDPFlow: A No-Code Agentic Framework for Multimodal Intelligent Document Processing.

Goutham Vignesh, Harikrishnan P. M., Siddartha Reddy, Saisubramaniam Gopalakrishnan, Vishal Vaddina

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Knowledge Graph Based Repository-Level Code Generation.

Mihir Athale, Vishal Vaddina

Proceedings of the IEEE/ACM International Workshop on Large Language Models for Code, 2025

DocAnnot - Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation.

Siddartha Reddy, Harikrishnan P. M., Goutham Vignesh, Varun V, Vishal Vaddina

Proceedings of the Document Analysis and Recognition - ICDAR 2025, 2025

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, Varun V, 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