Ashwin Swaminathan

11

Papers

48

Total Citations

Papers (11)

CPR: Retrieval Augmented Generation for Copyright Protection

Diffusion Soup: Model Merging for Text-to-Image Diffusion Models

Enhancing Numerical Prediction of MLLMs with Soft Labeling

THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models

Learning Expressive Prompting With Residuals for Vision Transformers

A Meta-Learning Approach to Predicting Performance and Data Requirements

SAFE: Machine Unlearning With Shard Graphs

Scaling up Image Segmentation across Data and Tasks

On the Scalability of Diffusion-based Text-to-Image Generation

Multi-Modal Hallucination Control by Visual Information Grounding

Your representations are in the network: composable and parallel adaptation for large scale models