activity
20192026
most cited3D Conditional Generative Adversarial Networks to enable large-scale seismic image enhancement

11 citations · 11 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR2026

False Floors: LLM Safety Routing Evaluations Break Under Distribution Shift

Amit Singh Bhatti, Vishal Vaddina

Safety routers send each request to one of several models and are judged against the best single model. A major routing benchmark picks that comparator on the evaluation data. In t…

cs.AI2026

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

Amit Singh Bhatti, Vishal Vaddina, Dagnachew Birru

Production LLM deployments serve diverse workloads where cost and quality requirements vary by customer tier, time of day, and query criticality. Model serving systems accept laten…

cs.AI2026

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

Gourab K Patro, Himanshi Agrawal, Himanshu Gharat +4

Modern general-purpose AI systems made using large language and vision models, are capable of performing a range of tasks like writing text articles, generating and debugging codes…

cs.LG2025

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

Aasheesh Singh, Vishal Vaddina, Dagnachew Birru

We introduce ORPO-Distill, a general-purpose method for cross-architecture LLM distillation that formulates the problem as a preference optimization task. Unlike standard CoT disti…

eess.IV2019★ 11 cited

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

Praneet Dutta, Bruce Power, Adam Halpert +10

We propose GAN-based image enhancement models for frequency enhancement of 2D and 3D seismic images. Seismic imagery is used to understand and characterize the Earth's subsurface f…